Overview

Dataset statistics

Number of variables31
Number of observations85103
Missing cells275045
Missing cells (%)10.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.4 MiB
Average record size in memory227.0 B

Variable types

Numeric15
Text10
DateTime1
Categorical2
Boolean3

Alerts

Estimated owners is highly imbalanced (53.6%)Imbalance
Windows is highly imbalanced (99.5%)Imbalance
Metacritic url has 81191 (95.4%) missing valuesMissing
Score rank has 85059 (99.9%) missing valuesMissing
Notes has 72082 (84.7%) missing valuesMissing
Developers has 3587 (4.2%) missing valuesMissing
Publishers has 3867 (4.5%) missing valuesMissing
Categories has 4598 (5.4%) missing valuesMissing
Genres has 3555 (4.2%) missing valuesMissing
Tags has 21100 (24.8%) missing valuesMissing
Peak CCU is highly skewed (γ1 = 116.3632974)Skewed
Price is highly skewed (γ1 = 23.00630262)Skewed
DLC count is highly skewed (γ1 = 121.2792744)Skewed
User score is highly skewed (γ1 = 46.69189223)Skewed
Positive is highly skewed (γ1 = 165.7952261)Skewed
Negative is highly skewed (γ1 = 150.2675238)Skewed
Achievements is highly skewed (γ1 = 27.06595488)Skewed
Recommendations is highly skewed (γ1 = 109.4463242)Skewed
Average playtime forever is highly skewed (γ1 = 58.96988105)Skewed
Average playtime two weeks is highly skewed (γ1 = 45.01545969)Skewed
Median playtime forever is highly skewed (γ1 = 79.54832202)Skewed
Median playtime two weeks is highly skewed (γ1 = 41.80555858)Skewed
AppID has unique valuesUnique
Peak CCU has 62436 (73.4%) zerosZeros
Required age has 83463 (98.1%) zerosZeros
Price has 16461 (19.3%) zerosZeros
DLC count has 73263 (86.1%) zerosZeros
Metacritic score has 81191 (95.4%) zerosZeros
User score has 85059 (99.9%) zerosZeros
Positive has 23314 (27.4%) zerosZeros
Negative has 33951 (39.9%) zerosZeros
Achievements has 43345 (50.9%) zerosZeros
Recommendations has 71343 (83.8%) zerosZeros
Average playtime forever has 70192 (82.5%) zerosZeros
Average playtime two weeks has 83048 (97.6%) zerosZeros
Median playtime forever has 70192 (82.5%) zerosZeros
Median playtime two weeks has 83048 (97.6%) zerosZeros

Reproduction

Analysis started2024-02-01 15:51:30.614004
Analysis finished2024-02-01 15:52:34.335651
Duration1 minute and 3.72 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

AppID
Real number (ℝ)

UNIQUE 

Distinct85103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1355681
Minimum10
Maximum2765800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.0 KiB
2024-02-01T11:52:34.453400image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile319731
Q1772390
median1331540
Q31918415
95-th percentile2497868
Maximum2765800
Range2765790
Interquartile range (IQR)1146025

Descriptive statistics

Standard deviation694995.2
Coefficient of variation (CV)0.51265394
Kurtosis-1.0474053
Mean1355681
Median Absolute Deviation (MAD)571930
Skewness0.10074396
Sum1.1537252 × 1011
Variance4.8301833 × 1011
MonotonicityNot monotonic
2024-02-01T11:52:34.602611image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20200 1
 
< 0.1%
612060 1
 
< 0.1%
586200 1
 
< 0.1%
549700 1
 
< 0.1%
1543210 1
 
< 0.1%
462730 1
 
< 0.1%
1350630 1
 
< 0.1%
2075960 1
 
< 0.1%
1234520 1
 
< 0.1%
239800 1
 
< 0.1%
Other values (85093) 85093
> 99.9%
ValueCountFrequency (%)
10 1
< 0.1%
20 1
< 0.1%
30 1
< 0.1%
40 1
< 0.1%
50 1
< 0.1%
60 1
< 0.1%
70 1
< 0.1%
80 1
< 0.1%
100 1
< 0.1%
130 1
< 0.1%
ValueCountFrequency (%)
2765800 1
< 0.1%
2764930 1
< 0.1%
2763480 1
< 0.1%
2761170 1
< 0.1%
2760980 1
< 0.1%
2759040 1
< 0.1%
2758870 1
< 0.1%
2756440 1
< 0.1%
2753910 1
< 0.1%
2753860 1
< 0.1%

Name
Text

Distinct84367
Distinct (%)99.1%
Missing6
Missing (%)< 0.1%
Memory size665.0 KiB
2024-02-01T11:52:34.980947image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length184
Median length117
Mean length17.945309
Min length1

Characters and Unicode

Total characters1527092
Distinct characters3080
Distinct categories22 ?
Distinct scripts12 ?
Distinct blocks30 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83759 ?
Unique (%)98.4%

Sample

1st rowGalactic Bowling
2nd rowTrain Bandit
3rd rowJolt Project
4th rowHenosis™
5th rowTwo Weeks in Painland
ValueCountFrequency (%)
the 11076
 
4.5%
of 7193
 
2.9%
5654
 
2.3%
playtest 3383
 
1.4%
2 2283
 
0.9%
vr 2085
 
0.8%
a 1761
 
0.7%
and 1546
 
0.6%
edition 1472
 
0.6%
in 1325
 
0.5%
Other values (46696) 209883
84.7%
2024-02-01T11:52:35.549640image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
162649
 
10.7%
e 133875
 
8.8%
a 94359
 
6.2%
o 84738
 
5.5%
r 82728
 
5.4%
i 78122
 
5.1%
t 76783
 
5.0%
n 70755
 
4.6%
s 62227
 
4.1%
l 57544
 
3.8%
Other values (3070) 623312
40.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1024828
67.1%
Uppercase Letter 272123
 
17.8%
Space Separator 162713
 
10.7%
Other Punctuation 22853
 
1.5%
Other Letter 19597
 
1.3%
Decimal Number 14040
 
0.9%
Dash Punctuation 6243
 
0.4%
Other Symbol 1235
 
0.1%
Close Punctuation 970
 
0.1%
Open Punctuation 966
 
0.1%
Other values (12) 1524
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
258
 
1.3%
248
 
1.3%
200
 
1.0%
154
 
0.8%
149
 
0.8%
140
 
0.7%
139
 
0.7%
136
 
0.7%
129
 
0.7%
125
 
0.6%
Other values (2635) 17919
91.4%
Lowercase Letter
ValueCountFrequency (%)
e 133875
13.1%
a 94359
 
9.2%
o 84738
 
8.3%
r 82728
 
8.1%
i 78122
 
7.6%
t 76783
 
7.5%
n 70755
 
6.9%
s 62227
 
6.1%
l 57544
 
5.6%
u 34739
 
3.4%
Other values (104) 248958
24.3%
Other Symbol
ValueCountFrequency (%)
615
49.8%
® 383
31.0%
🔞 17
 
1.4%
💦 16
 
1.3%
12
 
1.0%
12
 
1.0%
🐾 11
 
0.9%
9
 
0.7%
8
 
0.6%
° 8
 
0.6%
Other values (94) 144
 
11.7%
Uppercase Letter
ValueCountFrequency (%)
S 26011
 
9.6%
T 21938
 
8.1%
A 17582
 
6.5%
C 17314
 
6.4%
R 17024
 
6.3%
P 16401
 
6.0%
D 15501
 
5.7%
M 14276
 
5.2%
E 13832
 
5.1%
B 12324
 
4.5%
Other values (70) 99920
36.7%
Other Punctuation
ValueCountFrequency (%)
: 12027
52.6%
' 4013
 
17.6%
. 2202
 
9.6%
! 1816
 
7.9%
& 822
 
3.6%
, 677
 
3.0%
/ 444
 
1.9%
? 227
 
1.0%
210
 
0.9%
66
 
0.3%
Other values (22) 349
 
1.5%
Decimal Number
ValueCountFrequency (%)
2 4403
31.4%
1 2337
16.6%
0 2156
15.4%
3 1692
 
12.1%
4 840
 
6.0%
9 637
 
4.5%
8 521
 
3.7%
5 519
 
3.7%
6 459
 
3.3%
7 457
 
3.3%
Other values (6) 19
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 324
37.5%
+ 188
21.7%
| 178
20.6%
133
15.4%
= 10
 
1.2%
> 8
 
0.9%
7
 
0.8%
× 5
 
0.6%
4
 
0.5%
2
 
0.2%
Other values (5) 6
 
0.7%
Nonspacing Mark
ValueCountFrequency (%)
15
35.7%
5
 
11.9%
4
 
9.5%
4
 
9.5%
3
 
7.1%
͡ 2
 
4.8%
2
 
4.8%
2
 
4.8%
2
 
4.8%
1
 
2.4%
Other values (2) 2
 
4.8%
Close Punctuation
ValueCountFrequency (%)
) 690
71.1%
] 140
 
14.4%
90
 
9.3%
16
 
1.6%
15
 
1.5%
9
 
0.9%
6
 
0.6%
} 3
 
0.3%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 687
71.1%
[ 140
 
14.5%
89
 
9.2%
16
 
1.7%
15
 
1.6%
9
 
0.9%
6
 
0.6%
{ 3
 
0.3%
1
 
0.1%
Letter Number
ValueCountFrequency (%)
24
46.2%
15
28.8%
7
 
13.5%
2
 
3.8%
1
 
1.9%
1
 
1.9%
1
 
1.9%
1
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 6094
97.6%
95
 
1.5%
36
 
0.6%
9
 
0.1%
6
 
0.1%
3
 
< 0.1%
Modifier Letter
ValueCountFrequency (%)
210
93.3%
ʻ 12
 
5.3%
1
 
0.4%
1
 
0.4%
ˢ 1
 
0.4%
Modifier Symbol
ValueCountFrequency (%)
` 17
39.5%
´ 15
34.9%
^ 9
20.9%
¯ 2
 
4.7%
Other Number
ValueCountFrequency (%)
² 13
81.2%
³ 1
 
6.2%
¹ 1
 
6.2%
1
 
6.2%
Format
ValueCountFrequency (%)
4
44.4%
3
33.3%
1
 
11.1%
­ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
162649
> 99.9%
  35
 
< 0.1%
  29
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
117
94.4%
5
 
4.0%
» 2
 
1.6%
Initial Punctuation
ValueCountFrequency (%)
5
41.7%
5
41.7%
« 2
 
16.7%
Currency Symbol
ValueCountFrequency (%)
$ 9
90.0%
1
 
10.0%
Connector Punctuation
ValueCountFrequency (%)
_ 125
100.0%
Control
ValueCountFrequency (%)
™ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1296169
84.9%
Common 210443
 
13.8%
Han 15553
 
1.0%
Katakana 2213
 
0.1%
Hiragana 1230
 
0.1%
Cyrillic 802
 
0.1%
Hangul 493
 
< 0.1%
Thai 77
 
< 0.1%
Arabic 43
 
< 0.1%
Greek 33
 
< 0.1%
Other values (2) 36
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
258
 
1.7%
248
 
1.6%
149
 
1.0%
140
 
0.9%
139
 
0.9%
129
 
0.8%
125
 
0.8%
121
 
0.8%
114
 
0.7%
114
 
0.7%
Other values (2198) 14016
90.1%
Hangul
ValueCountFrequency (%)
19
 
3.9%
15
 
3.0%
10
 
2.0%
9
 
1.8%
9
 
1.8%
8
 
1.6%
7
 
1.4%
7
 
1.4%
6
 
1.2%
6
 
1.2%
Other values (231) 397
80.5%
Common
ValueCountFrequency (%)
162649
77.3%
: 12027
 
5.7%
- 6094
 
2.9%
2 4403
 
2.1%
' 4013
 
1.9%
1 2337
 
1.1%
. 2202
 
1.0%
0 2156
 
1.0%
! 1816
 
0.9%
3 1692
 
0.8%
Other values (207) 11054
 
5.3%
Latin
ValueCountFrequency (%)
e 133875
 
10.3%
a 94359
 
7.3%
o 84738
 
6.5%
r 82728
 
6.4%
i 78122
 
6.0%
t 76783
 
5.9%
n 70755
 
5.5%
s 62227
 
4.8%
l 57544
 
4.4%
u 34739
 
2.7%
Other values (112) 520299
40.1%
Katakana
ValueCountFrequency (%)
154
 
7.0%
136
 
6.1%
115
 
5.2%
100
 
4.5%
87
 
3.9%
79
 
3.6%
77
 
3.5%
72
 
3.3%
68
 
3.1%
58
 
2.6%
Other values (67) 1267
57.3%
Hiragana
ValueCountFrequency (%)
200
 
16.3%
66
 
5.4%
48
 
3.9%
47
 
3.8%
46
 
3.7%
42
 
3.4%
39
 
3.2%
35
 
2.8%
35
 
2.8%
34
 
2.8%
Other values (60) 638
51.9%
Cyrillic
ValueCountFrequency (%)
о 59
 
7.4%
и 53
 
6.6%
а 53
 
6.6%
е 48
 
6.0%
н 36
 
4.5%
т 36
 
4.5%
р 33
 
4.1%
С 32
 
4.0%
л 30
 
3.7%
с 26
 
3.2%
Other values (50) 396
49.4%
Thai
ValueCountFrequency (%)
11
 
14.3%
6
 
7.8%
5
 
6.5%
4
 
5.2%
4
 
5.2%
4
 
5.2%
4
 
5.2%
3
 
3.9%
2
 
2.6%
2
 
2.6%
Other values (21) 32
41.6%
Greek
ValueCountFrequency (%)
π 4
 
12.1%
Δ 4
 
12.1%
Σ 3
 
9.1%
ω 2
 
6.1%
ο 2
 
6.1%
γ 2
 
6.1%
1
 
3.0%
α 1
 
3.0%
Ω 1
 
3.0%
Θ 1
 
3.0%
Other values (12) 12
36.4%
Arabic
ValueCountFrequency (%)
ا 6
14.0%
ل 5
11.6%
م 4
 
9.3%
ر 4
 
9.3%
د 3
 
7.0%
ك 2
 
4.7%
ة 2
 
4.7%
س 2
 
4.7%
و 2
 
4.7%
ف 2
 
4.7%
Other values (8) 11
25.6%
Hebrew
ValueCountFrequency (%)
ו 3
25.0%
א 2
16.7%
ת 2
16.7%
ר 1
 
8.3%
י 1
 
8.3%
ח 1
 
8.3%
פ 1
 
8.3%
ם 1
 
8.3%
Inherited
ValueCountFrequency (%)
15
62.5%
4
 
16.7%
͡ 2
 
8.3%
1
 
4.2%
1
 
4.2%
͜ 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1503488
98.5%
CJK 15550
 
1.0%
Katakana 2465
 
0.2%
None 1813
 
0.1%
Hiragana 1232
 
0.1%
Cyrillic 802
 
0.1%
Letterlike Symbols 616
 
< 0.1%
Hangul 493
 
< 0.1%
Punctuation 315
 
< 0.1%
Thai 77
 
< 0.1%
Other values (20) 241
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
162649
 
10.8%
e 133875
 
8.9%
a 94359
 
6.3%
o 84738
 
5.6%
r 82728
 
5.5%
i 78122
 
5.2%
t 76783
 
5.1%
n 70755
 
4.7%
s 62227
 
4.1%
l 57544
 
3.8%
Other values (84) 599708
39.9%
Letterlike Symbols
ValueCountFrequency (%)
615
99.8%
1
 
0.2%
None
ValueCountFrequency (%)
® 383
21.1%
210
 
11.6%
133
 
7.3%
90
 
5.0%
89
 
4.9%
é 81
 
4.5%
66
 
3.6%
  35
 
1.9%
· 32
 
1.8%
  29
 
1.6%
Other values (184) 665
36.7%
CJK
ValueCountFrequency (%)
258
 
1.7%
248
 
1.6%
149
 
1.0%
140
 
0.9%
139
 
0.9%
129
 
0.8%
125
 
0.8%
121
 
0.8%
114
 
0.7%
114
 
0.7%
Other values (2196) 14013
90.1%
Katakana
ValueCountFrequency (%)
210
 
8.5%
154
 
6.2%
136
 
5.5%
115
 
4.7%
100
 
4.1%
87
 
3.5%
79
 
3.2%
77
 
3.1%
72
 
2.9%
68
 
2.8%
Other values (69) 1367
55.5%
Hiragana
ValueCountFrequency (%)
200
 
16.2%
66
 
5.4%
48
 
3.9%
47
 
3.8%
46
 
3.7%
42
 
3.4%
39
 
3.2%
35
 
2.8%
35
 
2.8%
34
 
2.8%
Other values (62) 640
51.9%
Punctuation
ValueCountFrequency (%)
117
37.1%
95
30.2%
36
 
11.4%
19
 
6.0%
13
 
4.1%
6
 
1.9%
5
 
1.6%
5
 
1.6%
5
 
1.6%
5
 
1.6%
Other values (4) 9
 
2.9%
Cyrillic
ValueCountFrequency (%)
о 59
 
7.4%
и 53
 
6.6%
а 53
 
6.6%
е 48
 
6.0%
н 36
 
4.5%
т 36
 
4.5%
р 33
 
4.1%
С 32
 
4.0%
л 30
 
3.7%
с 26
 
3.2%
Other values (50) 396
49.4%
Number Forms
ValueCountFrequency (%)
24
48.0%
15
30.0%
7
 
14.0%
1
 
2.0%
1
 
2.0%
1
 
2.0%
1
 
2.0%
Hangul
ValueCountFrequency (%)
19
 
3.9%
15
 
3.0%
10
 
2.0%
9
 
1.8%
9
 
1.8%
8
 
1.6%
7
 
1.4%
7
 
1.4%
6
 
1.2%
6
 
1.2%
Other values (231) 397
80.5%
VS
ValueCountFrequency (%)
15
100.0%
Misc Symbols
ValueCountFrequency (%)
12
24.5%
12
24.5%
4
 
8.2%
3
 
6.1%
2
 
4.1%
2
 
4.1%
1
 
2.0%
1
 
2.0%
1
 
2.0%
1
 
2.0%
Other values (10) 10
20.4%
Modifier Letters
ValueCountFrequency (%)
ʻ 12
92.3%
ˢ 1
 
7.7%
Thai
ValueCountFrequency (%)
11
 
14.3%
6
 
7.8%
5
 
6.5%
4
 
5.2%
4
 
5.2%
4
 
5.2%
4
 
5.2%
3
 
3.9%
2
 
2.6%
2
 
2.6%
Other values (21) 32
41.6%
Block Elements
ValueCountFrequency (%)
9
100.0%
Dingbats
ValueCountFrequency (%)
8
42.1%
5
26.3%
2
 
10.5%
1
 
5.3%
1
 
5.3%
1
 
5.3%
1
 
5.3%
Arabic
ValueCountFrequency (%)
ا 6
14.0%
ل 5
11.6%
م 4
 
9.3%
ر 4
 
9.3%
د 3
 
7.0%
ك 2
 
4.7%
ة 2
 
4.7%
س 2
 
4.7%
و 2
 
4.7%
ف 2
 
4.7%
Other values (8) 11
25.6%
Math Operators
ValueCountFrequency (%)
4
80.0%
1
 
20.0%
Hebrew
ValueCountFrequency (%)
ו 3
25.0%
א 2
16.7%
ת 2
16.7%
ר 1
 
8.3%
י 1
 
8.3%
ח 1
 
8.3%
פ 1
 
8.3%
ם 1
 
8.3%
Arrows
ValueCountFrequency (%)
2
50.0%
2
50.0%
Emoticons
ValueCountFrequency (%)
😈 2
66.7%
😳 1
33.3%
Geometric Shapes
ValueCountFrequency (%)
2
28.6%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Diacriticals
ValueCountFrequency (%)
͡ 2
66.7%
͜ 1
33.3%
Phonetic Ext
ValueCountFrequency (%)
1
50.0%
1
50.0%
IPA Ext
ValueCountFrequency (%)
ʖ 1
100.0%
Currency Symbols
ValueCountFrequency (%)
1
100.0%
Latin Ext Additional
ValueCountFrequency (%)
1
50.0%
1
50.0%
CJK Ext B
ValueCountFrequency (%)
𣸩 1
100.0%
Playing Cards
ValueCountFrequency (%)
🃏 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
1
100.0%
Distinct4401
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size665.0 KiB
Minimum1997-06-30 00:00:00
Maximum2025-04-14 00:00:00
2024-02-01T11:52:35.702630image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:35.840573image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Estimated owners
Categorical

IMBALANCE 

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size665.0 KiB
0 - 20000
55285 
0 - 0
11504 
20000 - 50000
7808 
50000 - 100000
 
3886
100000 - 200000
 
2566
Other values (9)
 
4054

Length

Max length21
Median length9
Mean length9.5582647
Min length5

Characters and Unicode

Total characters813437
Distinct characters6
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0 - 20000
2nd row0 - 20000
3rd row0 - 20000
4th row0 - 20000
5th row0 - 20000

Common Values

ValueCountFrequency (%)
0 - 20000 55285
65.0%
0 - 0 11504
 
13.5%
20000 - 50000 7808
 
9.2%
50000 - 100000 3886
 
4.6%
100000 - 200000 2566
 
3.0%
200000 - 500000 2142
 
2.5%
500000 - 1000000 906
 
1.1%
1000000 - 2000000 521
 
0.6%
2000000 - 5000000 329
 
0.4%
5000000 - 10000000 92
 
0.1%
Other values (4) 64
 
0.1%

Length

2024-02-01T11:52:35.980234image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
85103
33.3%
0 78293
30.7%
20000 63093
24.7%
50000 11694
 
4.6%
100000 6452
 
2.5%
200000 4708
 
1.8%
500000 3048
 
1.2%
1000000 1427
 
0.6%
2000000 850
 
0.3%
5000000 421
 
0.2%
Other values (5) 220
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 466215
57.3%
170206
 
20.9%
- 85103
 
10.5%
2 68711
 
8.4%
5 15188
 
1.9%
1 8014
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 558128
68.6%
Space Separator 170206
 
20.9%
Dash Punctuation 85103
 
10.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 466215
83.5%
2 68711
 
12.3%
5 15188
 
2.7%
1 8014
 
1.4%
Space Separator
ValueCountFrequency (%)
170206
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 813437
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 466215
57.3%
170206
 
20.9%
- 85103
 
10.5%
2 68711
 
8.4%
5 15188
 
1.9%
1 8014
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 813437
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 466215
57.3%
170206
 
20.9%
- 85103
 
10.5%
2 68711
 
8.4%
5 15188
 
1.9%
1 8014
 
1.0%

Peak CCU
Real number (ℝ)

SKEWED  ZEROS 

Distinct1445
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.87293
Minimum0
Maximum872138
Zeros62436
Zeros (%)73.4%
Negative0
Negative (%)0.0%
Memory size665.0 KiB
2024-02-01T11:52:36.116603image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile36
Maximum872138
Range872138
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5403.5489
Coefficient of variation (CV)40.063998
Kurtosis16368.39
Mean134.87293
Median Absolute Deviation (MAD)0
Skewness116.3633
Sum11478091
Variance29198340
MonotonicityNot monotonic
2024-02-01T11:52:36.254071image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62436
73.4%
1 7087
 
8.3%
2 2845
 
3.3%
3 1596
 
1.9%
4 1146
 
1.3%
5 836
 
1.0%
6 619
 
0.7%
7 486
 
0.6%
8 381
 
0.4%
9 313
 
0.4%
Other values (1435) 7358
 
8.6%
ValueCountFrequency (%)
0 62436
73.4%
1 7087
 
8.3%
2 2845
 
3.3%
3 1596
 
1.9%
4 1146
 
1.3%
5 836
 
1.0%
6 619
 
0.7%
7 486
 
0.6%
8 381
 
0.4%
9 313
 
0.4%
ValueCountFrequency (%)
872138 1
< 0.1%
825215 1
< 0.1%
558759 1
< 0.1%
405191 1
< 0.1%
287501 1
< 0.1%
275374 1
< 0.1%
235067 1
< 0.1%
233454 1
< 0.1%
170527 1
< 0.1%
169110 1
< 0.1%

Required age
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31277393
Minimum0
Maximum21
Zeros83463
Zeros (%)98.1%
Negative0
Negative (%)0.0%
Memory size665.0 KiB
2024-02-01T11:52:36.380345image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.2547206
Coefficient of variation (CV)7.2087869
Kurtosis49.816737
Mean0.31277393
Median Absolute Deviation (MAD)0
Skewness7.1635607
Sum26618
Variance5.0837652
MonotonicityNot monotonic
2024-02-01T11:52:36.486540image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 83463
98.1%
17 919
 
1.1%
18 333
 
0.4%
13 204
 
0.2%
16 68
 
0.1%
10 35
 
< 0.1%
12 34
 
< 0.1%
3 8
 
< 0.1%
15 8
 
< 0.1%
7 7
 
< 0.1%
Other values (9) 24
 
< 0.1%
ValueCountFrequency (%)
0 83463
98.1%
1 1
 
< 0.1%
3 8
 
< 0.1%
5 1
 
< 0.1%
6 6
 
< 0.1%
7 7
 
< 0.1%
9 1
 
< 0.1%
10 35
 
< 0.1%
11 1
 
< 0.1%
12 34
 
< 0.1%
ValueCountFrequency (%)
21 5
 
< 0.1%
20 2
 
< 0.1%
19 1
 
< 0.1%
18 333
 
0.4%
17 919
1.1%
16 68
 
0.1%
15 8
 
< 0.1%
14 6
 
< 0.1%
13 204
 
0.2%
12 34
 
< 0.1%

Price
Real number (ℝ)

SKEWED  ZEROS 

Distinct584
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1937027
Minimum0
Maximum999.98
Zeros16461
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size665.0 KiB
2024-02-01T11:52:36.620276image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.99
median4.49
Q39.99
95-th percentile19.99
Maximum999.98
Range999.98
Interquartile range (IQR)9

Descriptive statistics

Standard deviation12.362478
Coefficient of variation (CV)1.7185139
Kurtosis1521.6156
Mean7.1937027
Median Absolute Deviation (MAD)4
Skewness23.006303
Sum612205.68
Variance152.83086
MonotonicityNot monotonic
2024-02-01T11:52:36.775289image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16461
19.3%
4.99 7752
 
9.1%
9.99 7199
 
8.5%
0.99 6497
 
7.6%
1.99 5192
 
6.1%
2.99 4852
 
5.7%
3.99 3561
 
4.2%
14.99 3524
 
4.1%
19.99 3326
 
3.9%
5.99 2549
 
3.0%
Other values (574) 24190
28.4%
ValueCountFrequency (%)
0 16461
19.3%
0.29 1
 
< 0.1%
0.35 1
 
< 0.1%
0.37 1
 
< 0.1%
0.44 1
 
< 0.1%
0.49 614
 
0.7%
0.5 45
 
0.1%
0.51 102
 
0.1%
0.52 1
 
< 0.1%
0.53 7
 
< 0.1%
ValueCountFrequency (%)
999.98 2
 
< 0.1%
999 1
 
< 0.1%
299.9 1
 
< 0.1%
269.99 1
 
< 0.1%
249 1
 
< 0.1%
199.99 58
0.1%
164.34 1
 
< 0.1%
149.99 15
 
< 0.1%
134.1 1
 
< 0.1%
129.99 7
 
< 0.1%

DLC count
Real number (ℝ)

SKEWED  ZEROS 

Distinct95
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5434121
Minimum0
Maximum2366
Zeros73263
Zeros (%)86.1%
Negative0
Negative (%)0.0%
Memory size665.0 KiB
2024-02-01T11:52:36.921723image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum2366
Range2366
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.721223
Coefficient of variation (CV)25.250123
Kurtosis17698.545
Mean0.5434121
Median Absolute Deviation (MAD)0
Skewness121.27927
Sum46246
Variance188.27195
MonotonicityNot monotonic
2024-02-01T11:52:37.060105image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 73263
86.1%
1 7596
 
8.9%
2 1884
 
2.2%
3 716
 
0.8%
4 395
 
0.5%
5 255
 
0.3%
6 150
 
0.2%
7 118
 
0.1%
8 105
 
0.1%
10 72
 
0.1%
Other values (85) 549
 
0.6%
ValueCountFrequency (%)
0 73263
86.1%
1 7596
 
8.9%
2 1884
 
2.2%
3 716
 
0.8%
4 395
 
0.5%
5 255
 
0.3%
6 150
 
0.2%
7 118
 
0.1%
8 105
 
0.1%
9 68
 
0.1%
ValueCountFrequency (%)
2366 1
 
< 0.1%
1968 1
 
< 0.1%
1555 1
 
< 0.1%
678 5
< 0.1%
579 1
 
< 0.1%
461 1
 
< 0.1%
386 1
 
< 0.1%
343 1
 
< 0.1%
260 1
 
< 0.1%
214 1
 
< 0.1%
Distinct11306
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size665.0 KiB
2024-02-01T11:52:37.343428image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length1216
Median length11
Mean length48.66624
Min length2

Characters and Unicode

Total characters4141643
Distinct characters67
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9479 ?
Unique (%)11.1%

Sample

1st row['English']
2nd row['English', 'French', 'Italian', 'German', 'Spanish - Spain', 'Japanese', 'Portuguese - Brazil', 'Russian', 'Simplified Chinese', 'Traditional Chinese']
3rd row['English', 'Portuguese - Brazil']
4th row['English', 'French', 'Italian', 'German', 'Spanish - Spain', 'Japanese', 'Korean', 'Portuguese', 'Russian', 'Simplified Chinese', 'Traditional Chinese']
5th row['English', 'Spanish - Spain']
ValueCountFrequency (%)
english 78062
18.6%
36050
 
8.6%
chinese 28882
 
6.9%
spanish 21223
 
5.1%
simplified 19307
 
4.6%
german 18649
 
4.4%
french 18071
 
4.3%
russian 17383
 
4.1%
spain 16706
 
4.0%
portuguese 15515
 
3.7%
Other values (134) 149786
35.7%
2024-02-01T11:52:37.810080image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 633750
15.3%
i 339688
 
8.2%
334532
 
8.1%
n 302345
 
7.3%
a 245342
 
5.9%
, 235265
 
5.7%
s 224621
 
5.4%
e 222250
 
5.4%
h 186366
 
4.5%
l 149367
 
3.6%
Other values (57) 1268117
30.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2349862
56.7%
Other Punctuation 869381
 
21.0%
Uppercase Letter 383572
 
9.3%
Space Separator 334532
 
8.1%
Open Punctuation 85870
 
2.1%
Close Punctuation 85870
 
2.1%
Dash Punctuation 32555
 
0.8%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 339688
14.5%
n 302345
12.9%
a 245342
10.4%
s 224621
9.6%
e 222250
9.5%
h 186366
7.9%
l 149367
 
6.4%
r 119639
 
5.1%
g 106609
 
4.5%
p 73512
 
3.1%
Other values (17) 380123
16.2%
Uppercase Letter
ValueCountFrequency (%)
E 78458
20.5%
S 64200
16.7%
C 33518
8.7%
P 26004
 
6.8%
G 22540
 
5.9%
F 21112
 
5.5%
T 20395
 
5.3%
R 19790
 
5.2%
J 15414
 
4.0%
I 14332
 
3.7%
Other values (16) 67809
17.7%
Other Punctuation
ValueCountFrequency (%)
' 633750
72.9%
, 235265
 
27.1%
; 194
 
< 0.1%
& 96
 
< 0.1%
/ 41
 
< 0.1%
\ 34
 
< 0.1%
# 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
[ 85131
99.1%
( 739
 
0.9%
Close Punctuation
ValueCountFrequency (%)
] 85131
99.1%
) 739
 
0.9%
Space Separator
ValueCountFrequency (%)
334532
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32555
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2733434
66.0%
Common 1408209
34.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 339688
12.4%
n 302345
 
11.1%
a 245342
 
9.0%
s 224621
 
8.2%
e 222250
 
8.1%
h 186366
 
6.8%
l 149367
 
5.5%
r 119639
 
4.4%
g 106609
 
3.9%
E 78458
 
2.9%
Other values (43) 758749
27.8%
Common
ValueCountFrequency (%)
' 633750
45.0%
334532
23.8%
, 235265
 
16.7%
[ 85131
 
6.0%
] 85131
 
6.0%
- 32555
 
2.3%
( 739
 
0.1%
) 739
 
0.1%
; 194
 
< 0.1%
& 96
 
< 0.1%
Other values (4) 77
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4141642
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
' 633750
15.3%
i 339688
 
8.2%
334532
 
8.1%
n 302345
 
7.3%
a 245342
 
5.9%
, 235265
 
5.7%
s 224621
 
5.4%
e 222250
 
5.4%
h 186366
 
4.5%
l 149367
 
3.6%
Other values (56) 1268116
30.6%
None
ValueCountFrequency (%)
ç 1
100.0%
Distinct2240
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size665.0 KiB
2024-02-01T11:52:38.286485image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length1216
Median length2
Mean length16.966593
Min length2

Characters and Unicode

Total characters1443908
Distinct characters64
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1668 ?
Unique (%)2.0%

Sample

1st row[]
2nd row[]
3rd row[]
4th row[]
5th row[]
ValueCountFrequency (%)
57188
31.6%
english 32200
17.8%
chinese 7789
 
4.3%
simplified 4979
 
2.7%
spanish 4964
 
2.7%
russian 4160
 
2.3%
japanese 4092
 
2.3%
german 3770
 
2.1%
portuguese 3646
 
2.0%
french 3473
 
1.9%
Other values (117) 54898
30.3%
2024-02-01T11:52:38.751050image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 212748
14.7%
i 111920
 
7.8%
n 98017
 
6.8%
96056
 
6.7%
[ 85131
 
5.9%
] 85131
 
5.9%
a 78083
 
5.4%
s 73399
 
5.1%
, 70735
 
4.9%
h 63833
 
4.4%
Other values (54) 468855
32.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 760989
52.7%
Other Punctuation 283824
 
19.7%
Uppercase Letter 123960
 
8.6%
Space Separator 96056
 
6.7%
Open Punctuation 85680
 
5.9%
Close Punctuation 85680
 
5.9%
Dash Punctuation 7719
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 111920
14.7%
n 98017
12.9%
a 78083
10.3%
s 73399
9.6%
h 63833
8.4%
e 62865
8.3%
l 54151
7.1%
g 41647
 
5.5%
r 35440
 
4.7%
u 22770
 
3.0%
Other values (16) 118864
15.6%
Uppercase Letter
ValueCountFrequency (%)
E 32485
26.2%
S 17248
13.9%
C 9697
 
7.8%
T 7381
 
6.0%
P 6705
 
5.4%
G 5764
 
4.6%
R 5040
 
4.1%
F 4673
 
3.8%
B 4239
 
3.4%
A 4209
 
3.4%
Other values (16) 26519
21.4%
Other Punctuation
ValueCountFrequency (%)
' 212748
75.0%
, 70735
 
24.9%
; 192
 
0.1%
& 96
 
< 0.1%
/ 41
 
< 0.1%
\ 12
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
[ 85131
99.4%
( 549
 
0.6%
Close Punctuation
ValueCountFrequency (%)
] 85131
99.4%
) 549
 
0.6%
Space Separator
ValueCountFrequency (%)
96056
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7719
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 884949
61.3%
Common 558959
38.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 111920
12.6%
n 98017
11.1%
a 78083
 
8.8%
s 73399
 
8.3%
h 63833
 
7.2%
e 62865
 
7.1%
l 54151
 
6.1%
g 41647
 
4.7%
r 35440
 
4.0%
E 32485
 
3.7%
Other values (42) 233109
26.3%
Common
ValueCountFrequency (%)
' 212748
38.1%
96056
17.2%
[ 85131
15.2%
] 85131
15.2%
, 70735
 
12.7%
- 7719
 
1.4%
) 549
 
0.1%
( 549
 
0.1%
; 192
 
< 0.1%
& 96
 
< 0.1%
Other values (2) 53
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1443908
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
' 212748
14.7%
i 111920
 
7.8%
n 98017
 
6.8%
96056
 
6.7%
[ 85131
 
5.9%
] 85131
 
5.9%
a 78083
 
5.4%
s 73399
 
5.1%
, 70735
 
4.9%
h 63833
 
4.4%
Other values (54) 468855
32.5%

Windows
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size83.2 KiB
True
85073 
False
 
30
ValueCountFrequency (%)
True 85073
> 99.9%
False 30
 
< 0.1%
2024-02-01T11:52:38.896694image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Mac
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size83.2 KiB
False
68710 
True
16393 
ValueCountFrequency (%)
False 68710
80.7%
True 16393
 
19.3%
2024-02-01T11:52:39.013309image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Linux
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size83.2 KiB
False
73907 
True
11196 
ValueCountFrequency (%)
False 73907
86.8%
True 11196
 
13.2%
2024-02-01T11:52:39.123019image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Metacritic score
Real number (ℝ)

ZEROS 

Distinct73
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3483661
Minimum0
Maximum97
Zeros81191
Zeros (%)95.4%
Negative0
Negative (%)0.0%
Memory size665.0 KiB
2024-02-01T11:52:39.258950image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum97
Range97
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.421471
Coefficient of variation (CV)4.6056706
Kurtosis18.396785
Mean3.3483661
Median Absolute Deviation (MAD)0
Skewness4.4754037
Sum284956
Variance237.82178
MonotonicityNot monotonic
2024-02-01T11:52:39.418418image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 81191
95.4%
80 191
 
0.2%
76 171
 
0.2%
77 170
 
0.2%
78 166
 
0.2%
73 161
 
0.2%
81 161
 
0.2%
75 159
 
0.2%
72 151
 
0.2%
68 148
 
0.2%
Other values (63) 2434
 
2.9%
ValueCountFrequency (%)
0 81191
95.4%
20 1
 
< 0.1%
23 1
 
< 0.1%
24 1
 
< 0.1%
27 2
 
< 0.1%
29 2
 
< 0.1%
30 2
 
< 0.1%
32 2
 
< 0.1%
33 1
 
< 0.1%
34 3
 
< 0.1%
ValueCountFrequency (%)
97 2
 
< 0.1%
96 4
 
< 0.1%
95 2
 
< 0.1%
94 12
 
< 0.1%
93 14
 
< 0.1%
92 12
 
< 0.1%
91 26
< 0.1%
90 31
< 0.1%
89 41
< 0.1%
88 43
0.1%

Metacritic url
Text

MISSING 

Distinct3814
Distinct (%)97.5%
Missing81191
Missing (%)95.4%
Memory size665.0 KiB
2024-02-01T11:52:39.653052image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length142
Median length107
Mean length72.268661
Min length42

Characters and Unicode

Total characters282715
Distinct characters49
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3740 ?
Unique (%)95.6%

Sample

1st rowhttps://www.metacritic.com/game/pc/warsaw?ftag=MCD-06-10aaa1f
2nd rowhttps://www.metacritic.com/game/pc/alien-breed-3-descent?ftag=MCD-06-10aaa1f
3rd rowhttps://www.metacritic.com/game/pc/deadfall-adventures?ftag=MCD-06-10aaa1f
4th rowhttps://www.metacritic.com/game/pc/reigns-game-of-thrones?ftag=MCD-06-10aaa1f
5th rowhttps://www.metacritic.com/game/pc/max-payne?ftag=MCD-06-10aaa1f
ValueCountFrequency (%)
https://www.metacritic.com/game/pc/shadow-of-the-tomb-raider?ftag=mcd-06-10aaa1f 20
 
0.5%
https://www.metacritic.com/game/pc/crazy-machines-the-wacky-contraptions-game?ftag=mcd-06-10aaa1f 4
 
0.1%
https://www.metacritic.com/game/pc/brink?ftag=mcd-06-10aaa1f 3
 
0.1%
https://www.metacritic.com/game/pc/call-of-duty-black-ops-iii?ftag=mcd-06-10aaa1f 3
 
0.1%
https://www.metacritic.com/game/pc/fear?ftag=mcd-06-10aaa1f 3
 
0.1%
https://www.metacritic.com/game/pc/the-sims-3?ftag=mcd-06-10aaa1f 3
 
0.1%
https://www.metacritic.com/game/pc/armada-2526?ftag=mcd-06-10aaa1f 2
 
0.1%
https://www.metacritic.com/game/pc/arcade-spirits?ftag=mcd-06-10aaa1f 2
 
0.1%
https://www.metacritic.com/game/pc/batman-arkham-asylum?ftag=mcd-06-10aaa1f 2
 
0.1%
https://www.metacritic.com/game/pc/battlefield-bad-company-2-vietnam?ftag=mcd-06-10aaa1f 2
 
0.1%
Other values (3804) 3868
98.9%
2024-02-01T11:52:40.060413image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 28552
 
10.1%
t 23933
 
8.5%
/ 19560
 
6.9%
c 17675
 
6.3%
- 15498
 
5.5%
e 14703
 
5.2%
m 13515
 
4.8%
w 12638
 
4.5%
i 12022
 
4.3%
g 9255
 
3.3%
Other values (39) 115364
40.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 196074
69.4%
Other Punctuation 35230
 
12.5%
Decimal Number 20354
 
7.2%
Dash Punctuation 15498
 
5.5%
Uppercase Letter 11664
 
4.1%
Math Symbol 3893
 
1.4%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 28552
14.6%
t 23933
12.2%
c 17675
 
9.0%
e 14703
 
7.5%
m 13515
 
6.9%
w 12638
 
6.4%
i 12022
 
6.1%
g 9255
 
4.7%
f 9138
 
4.7%
p 8983
 
4.6%
Other values (16) 45660
23.3%
Decimal Number
ValueCountFrequency (%)
0 7933
39.0%
1 7901
38.8%
6 3911
19.2%
2 321
 
1.6%
3 92
 
0.5%
4 71
 
0.3%
5 39
 
0.2%
9 36
 
0.2%
8 27
 
0.1%
7 23
 
0.1%
Other Punctuation
ValueCountFrequency (%)
/ 19560
55.5%
. 7824
 
22.2%
: 3912
 
11.1%
? 3888
 
11.0%
! 46
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
C 3888
33.3%
D 3888
33.3%
M 3888
33.3%
Math Symbol
ValueCountFrequency (%)
= 3888
99.9%
+ 5
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 15498
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 207738
73.5%
Common 74977
 
26.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 28552
13.7%
t 23933
11.5%
c 17675
 
8.5%
e 14703
 
7.1%
m 13515
 
6.5%
w 12638
 
6.1%
i 12022
 
5.8%
g 9255
 
4.5%
f 9138
 
4.4%
p 8983
 
4.3%
Other values (19) 57324
27.6%
Common
ValueCountFrequency (%)
/ 19560
26.1%
- 15498
20.7%
0 7933
10.6%
1 7901
10.5%
. 7824
 
10.4%
: 3912
 
5.2%
6 3911
 
5.2%
= 3888
 
5.2%
? 3888
 
5.2%
2 321
 
0.4%
Other values (10) 341
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 282715
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 28552
 
10.1%
t 23933
 
8.5%
/ 19560
 
6.9%
c 17675
 
6.3%
- 15498
 
5.5%
e 14703
 
5.2%
m 13515
 
4.8%
w 12638
 
4.5%
i 12022
 
4.3%
g 9255
 
3.3%
Other values (39) 115364
40.8%

User score
Real number (ℝ)

SKEWED  ZEROS 

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.039822333
Minimum0
Maximum100
Zeros85059
Zeros (%)99.9%
Negative0
Negative (%)0.0%
Memory size665.0 KiB
2024-02-01T11:52:40.193887image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.791013
Coefficient of variation (CV)44.975091
Kurtosis2246.5439
Mean0.039822333
Median Absolute Deviation (MAD)0
Skewness46.691892
Sum3389
Variance3.2077277
MonotonicityNot monotonic
2024-02-01T11:52:40.332762image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 85059
99.9%
100 5
 
< 0.1%
80 2
 
< 0.1%
84 2
 
< 0.1%
46 2
 
< 0.1%
94 2
 
< 0.1%
51 2
 
< 0.1%
95 2
 
< 0.1%
68 2
 
< 0.1%
77 2
 
< 0.1%
Other values (23) 23
 
< 0.1%
ValueCountFrequency (%)
0 85059
99.9%
46 2
 
< 0.1%
51 2
 
< 0.1%
53 1
 
< 0.1%
55 1
 
< 0.1%
57 1
 
< 0.1%
59 1
 
< 0.1%
60 1
 
< 0.1%
61 1
 
< 0.1%
63 1
 
< 0.1%
ValueCountFrequency (%)
100 5
< 0.1%
98 1
 
< 0.1%
97 1
 
< 0.1%
96 1
 
< 0.1%
95 2
 
< 0.1%
94 2
 
< 0.1%
92 1
 
< 0.1%
88 1
 
< 0.1%
87 1
 
< 0.1%
84 2
 
< 0.1%

Positive
Real number (ℝ)

SKEWED  ZEROS 

Distinct4532
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean958.56089
Minimum0
Maximum5764420
Zeros23314
Zeros (%)27.4%
Negative0
Negative (%)0.0%
Memory size665.0 KiB
2024-02-01T11:52:40.477178image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q345
95-th percentile1229.9
Maximum5764420
Range5764420
Interquartile range (IQR)45

Descriptive statistics

Standard deviation24359.199
Coefficient of variation (CV)25.412261
Kurtosis37240.663
Mean958.56089
Median Absolute Deviation (MAD)7
Skewness165.79523
Sum81576407
Variance5.9337058 × 108
MonotonicityNot monotonic
2024-02-01T11:52:40.628094image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23314
27.4%
1 5291
 
6.2%
2 3951
 
4.6%
3 3051
 
3.6%
4 2620
 
3.1%
5 2202
 
2.6%
6 1843
 
2.2%
7 1589
 
1.9%
8 1383
 
1.6%
9 1309
 
1.5%
Other values (4522) 38550
45.3%
ValueCountFrequency (%)
0 23314
27.4%
1 5291
 
6.2%
2 3951
 
4.6%
3 3051
 
3.6%
4 2620
 
3.1%
5 2202
 
2.6%
6 1843
 
2.2%
7 1589
 
1.9%
8 1383
 
1.6%
9 1309
 
1.5%
ValueCountFrequency (%)
5764420 1
< 0.1%
1477153 1
< 0.1%
1171197 1
< 0.1%
1154655 1
< 0.1%
964983 1
< 0.1%
929372 1
< 0.1%
823693 1
< 0.1%
822326 1
< 0.1%
703687 1
< 0.1%
619457 1
< 0.1%

Negative
Real number (ℝ)

SKEWED  ZEROS 

Distinct2303
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.77257
Minimum0
Maximum895978
Zeros33951
Zeros (%)39.9%
Negative0
Negative (%)0.0%
Memory size665.0 KiB
2024-02-01T11:52:40.792747image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q314
95-th percentile257
Maximum895978
Range895978
Interquartile range (IQR)14

Descriptive statistics

Standard deviation4574.5839
Coefficient of variation (CV)28.631848
Kurtosis26859.424
Mean159.77257
Median Absolute Deviation (MAD)2
Skewness150.26752
Sum13597125
Variance20926818
MonotonicityNot monotonic
2024-02-01T11:52:40.949766image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33951
39.9%
1 7998
 
9.4%
2 4854
 
5.7%
3 3347
 
3.9%
4 2641
 
3.1%
5 2030
 
2.4%
6 1713
 
2.0%
7 1472
 
1.7%
8 1257
 
1.5%
9 1140
 
1.3%
Other values (2293) 24700
29.0%
ValueCountFrequency (%)
0 33951
39.9%
1 7998
 
9.4%
2 4854
 
5.7%
3 3347
 
3.9%
4 2641
 
3.1%
5 2030
 
2.4%
6 1713
 
2.0%
7 1472
 
1.7%
8 1257
 
1.5%
9 1140
 
1.3%
ValueCountFrequency (%)
895978 1
< 0.1%
766677 1
< 0.1%
300437 1
< 0.1%
210154 1
< 0.1%
138530 1
< 0.1%
129925 1
< 0.1%
112924 1
< 0.1%
108223 1
< 0.1%
106038 1
< 0.1%
103661 1
< 0.1%

Score rank
Categorical

MISSING 

Distinct4
Distinct (%)9.1%
Missing85059
Missing (%)99.9%
Memory size665.0 KiB
99.0
18 
98.0
12 
100.0
12 
97.0

Length

Max length5
Median length4
Mean length4.2727273
Min length4

Characters and Unicode

Total characters188
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row98.0
2nd row98.0
3rd row99.0
4th row99.0
5th row100.0

Common Values

ValueCountFrequency (%)
99.0 18
 
< 0.1%
98.0 12
 
< 0.1%
100.0 12
 
< 0.1%
97.0 2
 
< 0.1%
(Missing) 85059
99.9%

Length

2024-02-01T11:52:41.089194image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-01T11:52:41.211553image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
99.0 18
40.9%
98.0 12
27.3%
100.0 12
27.3%
97.0 2
 
4.5%

Most occurring characters

ValueCountFrequency (%)
0 68
36.2%
9 50
26.6%
. 44
23.4%
8 12
 
6.4%
1 12
 
6.4%
7 2
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 144
76.6%
Other Punctuation 44
 
23.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 68
47.2%
9 50
34.7%
8 12
 
8.3%
1 12
 
8.3%
7 2
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 188
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 68
36.2%
9 50
26.6%
. 44
23.4%
8 12
 
6.4%
1 12
 
6.4%
7 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 188
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 68
36.2%
9 50
26.6%
. 44
23.4%
8 12
 
6.4%
1 12
 
6.4%
7 2
 
1.1%

Achievements
Real number (ℝ)

SKEWED  ZEROS 

Distinct431
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.859394
Minimum0
Maximum9821
Zeros43345
Zeros (%)50.9%
Negative0
Negative (%)0.0%
Memory size665.0 KiB
2024-02-01T11:52:41.358717image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q318
95-th percentile53
Maximum9821
Range9821
Interquartile range (IQR)18

Descriptive statistics

Standard deviation171.44687
Coefficient of variation (CV)8.6330366
Kurtosis812.17535
Mean19.859394
Median Absolute Deviation (MAD)0
Skewness27.065955
Sum1690094
Variance29394.031
MonotonicityNot monotonic
2024-02-01T11:52:41.521668image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43345
50.9%
10 2108
 
2.5%
12 1657
 
1.9%
20 1489
 
1.7%
6 1417
 
1.7%
15 1390
 
1.6%
5 1355
 
1.6%
8 1275
 
1.5%
11 1260
 
1.5%
9 1205
 
1.4%
Other values (421) 28602
33.6%
ValueCountFrequency (%)
0 43345
50.9%
1 893
 
1.0%
2 471
 
0.6%
3 649
 
0.8%
4 849
 
1.0%
5 1355
 
1.6%
6 1417
 
1.7%
7 1190
 
1.4%
8 1275
 
1.5%
9 1205
 
1.4%
ValueCountFrequency (%)
9821 1
 
< 0.1%
5394 1
 
< 0.1%
5000 59
0.1%
4999 1
 
< 0.1%
4997 1
 
< 0.1%
4996 1
 
< 0.1%
4989 1
 
< 0.1%
4987 2
 
< 0.1%
4981 1
 
< 0.1%
4979 1
 
< 0.1%

Recommendations
Real number (ℝ)

SKEWED  ZEROS 

Distinct4035
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean775.51757
Minimum0
Maximum3441592
Zeros71343
Zeros (%)83.8%
Negative0
Negative (%)0.0%
Memory size665.0 KiB
2024-02-01T11:52:41.685459image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile960
Maximum3441592
Range3441592
Interquartile range (IQR)0

Descriptive statistics

Standard deviation17893.375
Coefficient of variation (CV)23.072817
Kurtosis17671.765
Mean775.51757
Median Absolute Deviation (MAD)0
Skewness109.44632
Sum65998872
Variance3.2017288 × 108
MonotonicityNot monotonic
2024-02-01T11:52:41.841069image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71343
83.8%
116 69
 
0.1%
106 65
 
0.1%
109 60
 
0.1%
105 60
 
0.1%
101 60
 
0.1%
127 59
 
0.1%
122 56
 
0.1%
135 55
 
0.1%
107 55
 
0.1%
Other values (4025) 13221
 
15.5%
ValueCountFrequency (%)
0 71343
83.8%
101 60
 
0.1%
102 52
 
0.1%
103 53
 
0.1%
104 51
 
0.1%
105 60
 
0.1%
106 65
 
0.1%
107 55
 
0.1%
108 47
 
0.1%
109 60
 
0.1%
ValueCountFrequency (%)
3441592 1
< 0.1%
1616422 1
< 0.1%
1247051 1
< 0.1%
899838 1
< 0.1%
899613 1
< 0.1%
899477 1
< 0.1%
899455 1
< 0.1%
899435 1
< 0.1%
783469 1
< 0.1%
725462 1
< 0.1%

Notes
Text

MISSING 

Distinct10570
Distinct (%)81.2%
Missing72082
Missing (%)84.7%
Memory size665.0 KiB
2024-02-01T11:52:42.201549image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length2028
Median length707
Mean length137.54834
Min length2

Characters and Unicode

Total characters1791017
Distinct characters896
Distinct categories19 ?
Distinct scripts8 ?
Distinct blocks16 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9811 ?
Unique (%)75.3%

Sample

1st rowThis Game may contain content not appropriate for all ages, or may not be appropriate for viewing at work: violence, general Mature Content.
2nd rowThis game depicts sexual acts between the player and a female character. All characters depicted are over the age of 18.
3rd rowThis Game may contain content not appropriate for all ages, or may not be appropriate for viewing at work Download only for players over 18 years old.
4th rowIron Rebellion has elements of sci-fi combat with laser guns, missiles, and explosions.
5th rowPlease note that Who We Are Now contains explicit sexual scenes between men. These scenes are optional.
ValueCountFrequency (%)
and 11734
 
4.1%
the 9985
 
3.5%
game 9558
 
3.3%
of 8031
 
2.8%
content 6391
 
2.2%
this 5508
 
1.9%
sexual 5411
 
1.9%
for 5332
 
1.9%
in 5026
 
1.8%
not 4959
 
1.7%
Other values (10933) 213868
74.8%
2024-02-01T11:52:42.764051image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
272779
15.2%
e 174757
 
9.8%
a 132355
 
7.4%
n 118743
 
6.6%
o 112053
 
6.3%
t 110090
 
6.1%
i 99769
 
5.6%
s 96900
 
5.4%
r 82057
 
4.6%
l 71621
 
4.0%
Other values (886) 519893
29.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1408513
78.6%
Space Separator 272790
 
15.2%
Uppercase Letter 48734
 
2.7%
Other Punctuation 44309
 
2.5%
Dash Punctuation 5192
 
0.3%
Decimal Number 5090
 
0.3%
Other Letter 3493
 
0.2%
Close Punctuation 1103
 
0.1%
Open Punctuation 1076
 
0.1%
Math Symbol 406
 
< 0.1%
Other values (9) 311
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
74
 
2.1%
70
 
2.0%
68
 
1.9%
65
 
1.9%
55
 
1.6%
49
 
1.4%
45
 
1.3%
44
 
1.3%
44
 
1.3%
42
 
1.2%
Other values (689) 2937
84.1%
Lowercase Letter
ValueCountFrequency (%)
e 174757
12.4%
a 132355
 
9.4%
n 118743
 
8.4%
o 112053
 
8.0%
t 110090
 
7.8%
i 99769
 
7.1%
s 96900
 
6.9%
r 82057
 
5.8%
l 71621
 
5.1%
c 57496
 
4.1%
Other values (63) 352672
25.0%
Uppercase Letter
ValueCountFrequency (%)
T 9895
20.3%
S 4558
9.4%
A 4003
 
8.2%
C 3997
 
8.2%
G 3807
 
7.8%
N 2979
 
6.1%
M 2531
 
5.2%
I 2227
 
4.6%
D 1774
 
3.6%
V 1668
 
3.4%
Other values (27) 11295
23.2%
Other Punctuation
ValueCountFrequency (%)
, 19004
42.9%
. 18911
42.7%
: 2469
 
5.6%
/ 1212
 
2.7%
' 787
 
1.8%
! 412
 
0.9%
; 353
 
0.8%
* 234
 
0.5%
& 209
 
0.5%
199
 
0.4%
Other values (17) 519
 
1.2%
Decimal Number
ValueCountFrequency (%)
1 2171
42.7%
8 1910
37.5%
2 444
 
8.7%
0 219
 
4.3%
3 141
 
2.8%
9 46
 
0.9%
4 43
 
0.8%
5 40
 
0.8%
6 37
 
0.7%
7 37
 
0.7%
Other values (2) 2
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
32
42.1%
12
 
15.8%
6
 
7.9%
6
 
7.9%
5
 
6.6%
4
 
5.3%
3
 
3.9%
3
 
3.9%
3
 
3.9%
1
 
1.3%
Math Symbol
ValueCountFrequency (%)
> 204
50.2%
+ 154
37.9%
~ 22
 
5.4%
= 21
 
5.2%
2
 
0.5%
× 1
 
0.2%
| 1
 
0.2%
1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1053
95.5%
] 38
 
3.4%
8
 
0.7%
3
 
0.3%
1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1028
95.5%
[ 38
 
3.5%
6
 
0.6%
3
 
0.3%
1
 
0.1%
Space Separator
ValueCountFrequency (%)
272779
> 99.9%
  7
 
< 0.1%
  4
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 5176
99.7%
10
 
0.2%
6
 
0.1%
Final Punctuation
ValueCountFrequency (%)
58
51.3%
54
47.8%
» 1
 
0.9%
Initial Punctuation
ValueCountFrequency (%)
58
89.2%
6
 
9.2%
« 1
 
1.5%
Modifier Letter
ValueCountFrequency (%)
44
97.8%
1
 
2.2%
Nonspacing Mark
ValueCountFrequency (%)
6
100.0%
Format
ValueCountFrequency (%)
2
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1456829
81.3%
Common 330269
 
18.4%
Han 2432
 
0.1%
Hiragana 634
 
< 0.1%
Cyrillic 419
 
< 0.1%
Katakana 320
 
< 0.1%
Hangul 108
 
< 0.1%
Inherited 6
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
70
 
2.9%
68
 
2.8%
49
 
2.0%
45
 
1.9%
44
 
1.8%
42
 
1.7%
41
 
1.7%
39
 
1.6%
39
 
1.6%
35
 
1.4%
Other values (531) 1960
80.6%
Common
ValueCountFrequency (%)
272779
82.6%
, 19004
 
5.8%
. 18911
 
5.7%
- 5176
 
1.6%
: 2469
 
0.7%
1 2171
 
0.7%
8 1910
 
0.6%
/ 1212
 
0.4%
) 1053
 
0.3%
( 1028
 
0.3%
Other values (74) 4556
 
1.4%
Latin
ValueCountFrequency (%)
e 174757
12.0%
a 132355
 
9.1%
n 118743
 
8.2%
o 112053
 
7.7%
t 110090
 
7.6%
i 99769
 
6.8%
s 96900
 
6.7%
r 82057
 
5.6%
l 71621
 
4.9%
c 57496
 
3.9%
Other values (61) 400988
27.5%
Hangul
ValueCountFrequency (%)
6
 
5.6%
5
 
4.6%
4
 
3.7%
3
 
2.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
Other values (53) 72
66.7%
Katakana
ValueCountFrequency (%)
28
 
8.8%
21
 
6.6%
19
 
5.9%
17
 
5.3%
17
 
5.3%
17
 
5.3%
16
 
5.0%
14
 
4.4%
13
 
4.1%
13
 
4.1%
Other values (42) 145
45.3%
Hiragana
ValueCountFrequency (%)
74
 
11.7%
65
 
10.3%
55
 
8.7%
44
 
6.9%
33
 
5.2%
30
 
4.7%
30
 
4.7%
29
 
4.6%
25
 
3.9%
24
 
3.8%
Other values (34) 225
35.5%
Cyrillic
ValueCountFrequency (%)
е 47
 
11.2%
н 36
 
8.6%
о 32
 
7.6%
и 30
 
7.2%
т 28
 
6.7%
р 27
 
6.4%
а 23
 
5.5%
л 21
 
5.0%
с 19
 
4.5%
д 14
 
3.3%
Other values (30) 142
33.9%
Inherited
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1786024
99.7%
CJK 2431
 
0.1%
Hiragana 634
 
< 0.1%
Katakana 563
 
< 0.1%
None 454
 
< 0.1%
Cyrillic 419
 
< 0.1%
Punctuation 298
 
< 0.1%
Hangul 108
 
< 0.1%
Misc Symbols 38
 
< 0.1%
Geometric Shapes 36
 
< 0.1%
Other values (6) 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
272779
15.3%
e 174757
 
9.8%
a 132355
 
7.4%
n 118743
 
6.6%
o 112053
 
6.3%
t 110090
 
6.2%
i 99769
 
5.6%
s 96900
 
5.4%
r 82057
 
4.6%
l 71621
 
4.0%
Other values (78) 514900
28.8%
Katakana
ValueCountFrequency (%)
199
35.3%
44
 
7.8%
28
 
5.0%
21
 
3.7%
19
 
3.4%
17
 
3.0%
17
 
3.0%
17
 
3.0%
16
 
2.8%
14
 
2.5%
Other values (44) 171
30.4%
None
ValueCountFrequency (%)
120
26.4%
78
17.2%
77
17.0%
· 67
14.8%
é 10
 
2.2%
10
 
2.2%
8
 
1.8%
7
 
1.5%
7
 
1.5%
  7
 
1.5%
Other values (32) 63
13.9%
Punctuation
ValueCountFrequency (%)
89
29.9%
58
19.5%
58
19.5%
54
18.1%
12
 
4.0%
10
 
3.4%
6
 
2.0%
6
 
2.0%
3
 
1.0%
2
 
0.7%
Hiragana
ValueCountFrequency (%)
74
 
11.7%
65
 
10.3%
55
 
8.7%
44
 
6.9%
33
 
5.2%
30
 
4.7%
30
 
4.7%
29
 
4.6%
25
 
3.9%
24
 
3.8%
Other values (34) 225
35.5%
CJK
ValueCountFrequency (%)
70
 
2.9%
68
 
2.8%
49
 
2.0%
45
 
1.9%
44
 
1.8%
42
 
1.7%
41
 
1.7%
39
 
1.6%
39
 
1.6%
35
 
1.4%
Other values (530) 1959
80.6%
Cyrillic
ValueCountFrequency (%)
е 47
 
11.2%
н 36
 
8.6%
о 32
 
7.6%
и 30
 
7.2%
т 28
 
6.7%
р 27
 
6.4%
а 23
 
5.5%
л 21
 
5.0%
с 19
 
4.5%
д 14
 
3.3%
Other values (30) 142
33.9%
Misc Symbols
ValueCountFrequency (%)
32
84.2%
3
 
7.9%
3
 
7.9%
Geometric Shapes
ValueCountFrequency (%)
12
33.3%
6
16.7%
6
16.7%
5
13.9%
4
 
11.1%
3
 
8.3%
VS
ValueCountFrequency (%)
6
100.0%
Hangul
ValueCountFrequency (%)
6
 
5.6%
5
 
4.6%
4
 
3.7%
3
 
2.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
3
 
2.8%
Other values (53) 72
66.7%
Arrows
ValueCountFrequency (%)
2
100.0%
IPA Ext
ValueCountFrequency (%)
ɕ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%
Dingbats
ValueCountFrequency (%)
1
100.0%

Average playtime forever
Real number (ℝ)

SKEWED  ZEROS 

Distinct2209
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.72968
Minimum0
Maximum145727
Zeros70192
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size665.0 KiB
2024-02-01T11:52:42.917378image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile353
Maximum145727
Range145727
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1142.4475
Coefficient of variation (CV)10.908536
Kurtosis5295.1895
Mean104.72968
Median Absolute Deviation (MAD)0
Skewness58.969881
Sum8912810
Variance1305186.3
MonotonicityNot monotonic
2024-02-01T11:52:43.083414image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70192
82.5%
1 342
 
0.4%
2 133
 
0.2%
4 106
 
0.1%
3 105
 
0.1%
5 100
 
0.1%
6 96
 
0.1%
9 88
 
0.1%
8 87
 
0.1%
7 84
 
0.1%
Other values (2199) 13770
 
16.2%
ValueCountFrequency (%)
0 70192
82.5%
1 342
 
0.4%
2 133
 
0.2%
3 105
 
0.1%
4 106
 
0.1%
5 100
 
0.1%
6 96
 
0.1%
7 84
 
0.1%
8 87
 
0.1%
9 88
 
0.1%
ValueCountFrequency (%)
145727 1
< 0.1%
104238 1
< 0.1%
90351 1
< 0.1%
76068 1
< 0.1%
68357 1
< 0.1%
68159 1
< 0.1%
64973 1
< 0.1%
51388 1
< 0.1%
49555 1
< 0.1%
47336 1
< 0.1%

Average playtime two weeks
Real number (ℝ)

SKEWED  ZEROS 

Distinct781
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.680105
Minimum0
Maximum19159
Zeros83048
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size665.0 KiB
2024-02-01T11:52:43.247949image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum19159
Range19159
Interquartile range (IQR)0

Descriptive statistics

Standard deviation188.84001
Coefficient of variation (CV)17.681474
Kurtosis2786.2144
Mean10.680105
Median Absolute Deviation (MAD)0
Skewness45.01546
Sum908909
Variance35660.548
MonotonicityNot monotonic
2024-02-01T11:52:43.422598image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 83048
97.6%
1 74
 
0.1%
2 24
 
< 0.1%
3 24
 
< 0.1%
8 21
 
< 0.1%
4 20
 
< 0.1%
10 19
 
< 0.1%
5 19
 
< 0.1%
17 17
 
< 0.1%
11 16
 
< 0.1%
Other values (771) 1821
 
2.1%
ValueCountFrequency (%)
0 83048
97.6%
1 74
 
0.1%
2 24
 
< 0.1%
3 24
 
< 0.1%
4 20
 
< 0.1%
5 19
 
< 0.1%
6 16
 
< 0.1%
7 13
 
< 0.1%
8 21
 
< 0.1%
9 15
 
< 0.1%
ValueCountFrequency (%)
19159 1
< 0.1%
10996 1
< 0.1%
10995 1
< 0.1%
10994 1
< 0.1%
10993 1
< 0.1%
10985 1
< 0.1%
10980 1
< 0.1%
10012 1
< 0.1%
9982 1
< 0.1%
9863 1
< 0.1%

Median playtime forever
Real number (ℝ)

SKEWED  ZEROS 

Distinct1896
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.316029
Minimum0
Maximum208473
Zeros70192
Zeros (%)82.5%
Negative0
Negative (%)0.0%
Memory size665.0 KiB
2024-02-01T11:52:43.576513image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile332
Maximum208473
Range208473
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1510.7321
Coefficient of variation (CV)16.189417
Kurtosis8043.2472
Mean93.316029
Median Absolute Deviation (MAD)0
Skewness79.548322
Sum7941474
Variance2282311.5
MonotonicityNot monotonic
2024-02-01T11:52:43.719309image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70192
82.5%
1 334
 
0.4%
2 130
 
0.2%
3 103
 
0.1%
4 101
 
0.1%
6 97
 
0.1%
11 96
 
0.1%
5 95
 
0.1%
8 86
 
0.1%
9 83
 
0.1%
Other values (1886) 13786
 
16.2%
ValueCountFrequency (%)
0 70192
82.5%
1 334
 
0.4%
2 130
 
0.2%
3 103
 
0.1%
4 101
 
0.1%
5 95
 
0.1%
6 97
 
0.1%
7 80
 
0.1%
8 86
 
0.1%
9 83
 
0.1%
ValueCountFrequency (%)
208473 1
< 0.1%
145727 1
< 0.1%
136629 1
< 0.1%
136291 1
< 0.1%
114016 1
< 0.1%
102435 1
< 0.1%
99108 1
< 0.1%
90351 1
< 0.1%
76068 1
< 0.1%
65792 1
< 0.1%

Median playtime two weeks
Real number (ℝ)

SKEWED  ZEROS 

Distinct784
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.467328
Minimum0
Maximum19159
Zeros83048
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size665.0 KiB
2024-02-01T11:52:43.856495image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum19159
Range19159
Interquartile range (IQR)0

Descriptive statistics

Standard deviation205.37294
Coefficient of variation (CV)17.909399
Kurtosis2307.8499
Mean11.467328
Median Absolute Deviation (MAD)0
Skewness41.805559
Sum975904
Variance42178.046
MonotonicityNot monotonic
2024-02-01T11:52:44.235411image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 83048
97.6%
1 74
 
0.1%
3 25
 
< 0.1%
2 23
 
< 0.1%
8 20
 
< 0.1%
10 19
 
< 0.1%
5 19
 
< 0.1%
4 18
 
< 0.1%
6 17
 
< 0.1%
23 17
 
< 0.1%
Other values (774) 1823
 
2.1%
ValueCountFrequency (%)
0 83048
97.6%
1 74
 
0.1%
2 23
 
< 0.1%
3 25
 
< 0.1%
4 18
 
< 0.1%
5 19
 
< 0.1%
6 17
 
< 0.1%
7 13
 
< 0.1%
8 20
 
< 0.1%
9 14
 
< 0.1%
ValueCountFrequency (%)
19159 1
< 0.1%
10996 1
< 0.1%
10995 2
< 0.1%
10994 2
< 0.1%
10993 1
< 0.1%
10985 1
< 0.1%
10980 1
< 0.1%
10012 1
< 0.1%
9982 1
< 0.1%
9863 1
< 0.1%

Developers
Text

MISSING 

Distinct49870
Distinct (%)61.2%
Missing3587
Missing (%)4.2%
Memory size665.0 KiB
2024-02-01T11:52:44.663614image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length584
Median length254
Mean length14.520965
Min length1

Characters and Unicode

Total characters1183691
Distinct characters2293
Distinct categories21 ?
Distinct scripts12 ?
Distinct blocks22 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38793 ?
Unique (%)47.6%

Sample

1st rowPerpetual FX Creative
2nd rowRusty Moyher
3rd rowCampião Games
4th rowOdd Critter Games
5th rowUnusual Games
ValueCountFrequency (%)
games 13332
 
8.0%
studio 4868
 
2.9%
studios 4476
 
2.7%
game 1682
 
1.0%
ltd 1671
 
1.0%
inc 1637
 
1.0%
llc 1489
 
0.9%
entertainment 1476
 
0.9%
interactive 1337
 
0.8%
software 1304
 
0.8%
Other values (47644) 133378
80.0%
2024-02-01T11:52:45.312829image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 99727
 
8.4%
a 87926
 
7.4%
85187
 
7.2%
i 70132
 
5.9%
o 69219
 
5.8%
t 60320
 
5.1%
n 55036
 
4.6%
r 54006
 
4.6%
s 52511
 
4.4%
m 38655
 
3.3%
Other values (2283) 510972
43.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 828450
70.0%
Uppercase Letter 230213
 
19.4%
Space Separator 85190
 
7.2%
Other Punctuation 17444
 
1.5%
Other Letter 12896
 
1.1%
Decimal Number 5836
 
0.5%
Dash Punctuation 1649
 
0.1%
Connector Punctuation 588
 
< 0.1%
Open Punctuation 501
 
< 0.1%
Close Punctuation 500
 
< 0.1%
Other values (11) 424
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
504
 
3.9%
468
 
3.6%
430
 
3.3%
260
 
2.0%
222
 
1.7%
170
 
1.3%
168
 
1.3%
162
 
1.3%
162
 
1.3%
158
 
1.2%
Other values (1928) 10192
79.0%
Lowercase Letter
ValueCountFrequency (%)
e 99727
12.0%
a 87926
10.6%
i 70132
 
8.5%
o 69219
 
8.4%
t 60320
 
7.3%
n 55036
 
6.6%
r 54006
 
6.5%
s 52511
 
6.3%
m 38655
 
4.7%
l 35816
 
4.3%
Other values (106) 205102
24.8%
Uppercase Letter
ValueCountFrequency (%)
S 28463
 
12.4%
G 25272
 
11.0%
C 14028
 
6.1%
A 13786
 
6.0%
L 13191
 
5.7%
M 11865
 
5.2%
T 11796
 
5.1%
D 10761
 
4.7%
E 10312
 
4.5%
I 10061
 
4.4%
Other values (71) 80678
35.0%
Nonspacing Mark
ValueCountFrequency (%)
̈́ 4
 
5.6%
̑ 4
 
5.6%
͎ 3
 
4.2%
̩ 2
 
2.8%
̒ 2
 
2.8%
̴ 2
 
2.8%
̅ 2
 
2.8%
̛ 2
 
2.8%
͆ 2
 
2.8%
̆ 2
 
2.8%
Other values (43) 46
64.8%
Other Symbol
ValueCountFrequency (%)
36
26.7%
® 31
23.0%
12
 
8.9%
💘 11
 
8.1%
8
 
5.9%
5
 
3.7%
3
 
2.2%
3
 
2.2%
° 3
 
2.2%
3
 
2.2%
Other values (15) 20
14.8%
Other Punctuation
ValueCountFrequency (%)
, 9783
56.1%
. 6329
36.3%
' 589
 
3.4%
& 249
 
1.4%
/ 151
 
0.9%
! 124
 
0.7%
: 93
 
0.5%
@ 23
 
0.1%
? 20
 
0.1%
* 14
 
0.1%
Other values (14) 69
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 894
15.3%
3 874
15.0%
2 812
13.9%
0 786
13.5%
4 543
9.3%
7 505
8.7%
9 402
6.9%
8 375
6.4%
6 328
 
5.6%
5 317
 
5.4%
Math Symbol
ValueCountFrequency (%)
+ 49
62.8%
| 12
 
15.4%
× 7
 
9.0%
~ 4
 
5.1%
3
 
3.8%
= 1
 
1.3%
1
 
1.3%
> 1
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 428
85.4%
[ 32
 
6.4%
26
 
5.2%
{ 8
 
1.6%
3
 
0.6%
3
 
0.6%
1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 426
85.2%
] 32
 
6.4%
27
 
5.4%
} 8
 
1.6%
3
 
0.6%
3
 
0.6%
1
 
0.2%
Space Separator
ValueCountFrequency (%)
85187
> 99.9%
  2
 
< 0.1%
1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1639
99.4%
9
 
0.5%
1
 
0.1%
Modifier Symbol
ValueCountFrequency (%)
´ 6
42.9%
` 5
35.7%
^ 3
21.4%
Other Number
ValueCountFrequency (%)
² 3
60.0%
³ 1
 
20.0%
1
 
20.0%
Format
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Modifier Letter
ValueCountFrequency (%)
101
97.1%
3
 
2.9%
Final Punctuation
ValueCountFrequency (%)
6
85.7%
1
 
14.3%
Initial Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 588
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 3
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1058171
89.4%
Common 112077
 
9.5%
Han 10845
 
0.9%
Katakana 1029
 
0.1%
Hiragana 760
 
0.1%
Cyrillic 465
 
< 0.1%
Hangul 230
 
< 0.1%
Inherited 71
 
< 0.1%
Arabic 32
 
< 0.1%
Greek 7
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
504
 
4.6%
468
 
4.3%
430
 
4.0%
260
 
2.4%
222
 
2.0%
170
 
1.6%
168
 
1.5%
162
 
1.5%
162
 
1.5%
158
 
1.5%
Other values (1660) 8141
75.1%
Latin
ValueCountFrequency (%)
e 99727
 
9.4%
a 87926
 
8.3%
i 70132
 
6.6%
o 69219
 
6.5%
t 60320
 
5.7%
n 55036
 
5.2%
r 54006
 
5.1%
s 52511
 
5.0%
m 38655
 
3.7%
l 35816
 
3.4%
Other values (115) 434823
41.1%
Common
ValueCountFrequency (%)
85187
76.0%
, 9783
 
8.7%
. 6329
 
5.6%
- 1639
 
1.5%
1 894
 
0.8%
3 874
 
0.8%
2 812
 
0.7%
0 786
 
0.7%
' 589
 
0.5%
_ 588
 
0.5%
Other values (109) 4596
 
4.1%
Hangul
ValueCountFrequency (%)
11
 
4.8%
10
 
4.3%
10
 
4.3%
9
 
3.9%
9
 
3.9%
7
 
3.0%
7
 
3.0%
5
 
2.2%
5
 
2.2%
5
 
2.2%
Other values (98) 152
66.1%
Hiragana
ValueCountFrequency (%)
53
 
7.0%
41
 
5.4%
38
 
5.0%
37
 
4.9%
31
 
4.1%
27
 
3.6%
23
 
3.0%
23
 
3.0%
22
 
2.9%
22
 
2.9%
Other values (62) 443
58.3%
Katakana
ValueCountFrequency (%)
74
 
7.2%
65
 
6.3%
57
 
5.5%
54
 
5.2%
50
 
4.9%
40
 
3.9%
37
 
3.6%
34
 
3.3%
32
 
3.1%
30
 
2.9%
Other values (61) 556
54.0%
Inherited
ValueCountFrequency (%)
̈́ 4
 
5.6%
̑ 4
 
5.6%
͎ 3
 
4.2%
̩ 2
 
2.8%
̒ 2
 
2.8%
̴ 2
 
2.8%
̅ 2
 
2.8%
̛ 2
 
2.8%
͆ 2
 
2.8%
̆ 2
 
2.8%
Other values (43) 46
64.8%
Cyrillic
ValueCountFrequency (%)
о 43
 
9.2%
и 34
 
7.3%
К 33
 
7.1%
е 31
 
6.7%
р 21
 
4.5%
а 19
 
4.1%
А 19
 
4.1%
т 18
 
3.9%
в 17
 
3.7%
Я 15
 
3.2%
Other values (41) 215
46.2%
Arabic
ValueCountFrequency (%)
ا 5
15.6%
ي 4
12.5%
ر 4
12.5%
ل 3
9.4%
ف 2
 
6.2%
س 2
 
6.2%
ت 2
 
6.2%
ه 2
 
6.2%
ة 2
 
6.2%
ن 1
 
3.1%
Other values (5) 5
15.6%
Greek
ValueCountFrequency (%)
α 3
42.9%
ω 1
 
14.3%
Δ 1
 
14.3%
π 1
 
14.3%
Σ 1
 
14.3%
Runic
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Thai
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1168572
98.7%
CJK 10842
 
0.9%
None 1448
 
0.1%
Katakana 1131
 
0.1%
Hiragana 760
 
0.1%
Cyrillic 465
 
< 0.1%
Hangul 230
 
< 0.1%
Diacriticals 69
 
< 0.1%
Letterlike Symbols 37
 
< 0.1%
Arabic 32
 
< 0.1%
Other values (12) 105
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 99727
 
8.5%
a 87926
 
7.5%
85187
 
7.3%
i 70132
 
6.0%
o 69219
 
5.9%
t 60320
 
5.2%
n 55036
 
4.7%
r 54006
 
4.6%
s 52511
 
4.5%
m 38655
 
3.3%
Other values (82) 495853
42.4%
CJK
ValueCountFrequency (%)
504
 
4.6%
468
 
4.3%
430
 
4.0%
260
 
2.4%
222
 
2.0%
170
 
1.6%
168
 
1.5%
162
 
1.5%
162
 
1.5%
158
 
1.5%
Other values (1659) 8138
75.1%
None
ValueCountFrequency (%)
é 203
 
14.0%
ö 101
 
7.0%
á 100
 
6.9%
ü 81
 
5.6%
ä 78
 
5.4%
í 74
 
5.1%
ç 50
 
3.5%
ł 49
 
3.4%
ı 39
 
2.7%
ğ 31
 
2.1%
Other values (100) 642
44.3%
Katakana
ValueCountFrequency (%)
101
 
8.9%
74
 
6.5%
65
 
5.7%
57
 
5.0%
54
 
4.8%
50
 
4.4%
40
 
3.5%
37
 
3.3%
34
 
3.0%
32
 
2.8%
Other values (63) 587
51.9%
Hiragana
ValueCountFrequency (%)
53
 
7.0%
41
 
5.4%
38
 
5.0%
37
 
4.9%
31
 
4.1%
27
 
3.6%
23
 
3.0%
23
 
3.0%
22
 
2.9%
22
 
2.9%
Other values (62) 443
58.3%
Cyrillic
ValueCountFrequency (%)
о 43
 
9.2%
и 34
 
7.3%
К 33
 
7.1%
е 31
 
6.7%
р 21
 
4.5%
а 19
 
4.1%
А 19
 
4.1%
т 18
 
3.9%
в 17
 
3.7%
Я 15
 
3.2%
Other values (41) 215
46.2%
Letterlike Symbols
ValueCountFrequency (%)
36
97.3%
1
 
2.7%
Geometric Shapes
ValueCountFrequency (%)
12
57.1%
3
 
14.3%
3
 
14.3%
3
 
14.3%
Hangul
ValueCountFrequency (%)
11
 
4.8%
10
 
4.3%
10
 
4.3%
9
 
3.9%
9
 
3.9%
7
 
3.0%
7
 
3.0%
5
 
2.2%
5
 
2.2%
5
 
2.2%
Other values (98) 152
66.1%
Punctuation
ValueCountFrequency (%)
9
34.6%
6
23.1%
3
 
11.5%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
Misc Symbols
ValueCountFrequency (%)
8
50.0%
5
31.2%
3
 
18.8%
Arabic
ValueCountFrequency (%)
ا 5
15.6%
ي 4
12.5%
ر 4
12.5%
ل 3
9.4%
ف 2
 
6.2%
س 2
 
6.2%
ت 2
 
6.2%
ه 2
 
6.2%
ة 2
 
6.2%
ن 1
 
3.1%
Other values (5) 5
15.6%
Diacriticals
ValueCountFrequency (%)
̈́ 4
 
5.8%
̑ 4
 
5.8%
͎ 3
 
4.3%
̩ 2
 
2.9%
̒ 2
 
2.9%
̴ 2
 
2.9%
̅ 2
 
2.9%
̛ 2
 
2.9%
͆ 2
 
2.9%
̆ 2
 
2.9%
Other values (41) 44
63.8%
Math Operators
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Math Alphanum
ValueCountFrequency (%)
𝖎 3
13.6%
𝖗 2
 
9.1%
𝖓 2
 
9.1%
𝖉 2
 
9.1%
𝖊 1
 
4.5%
𝖈 1
 
4.5%
𝕴 1
 
4.5%
𝖞 1
 
4.5%
𝕯 1
 
4.5%
𝖘 1
 
4.5%
Other values (7) 7
31.8%
Latin Ext Additional
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Dingbats
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Number Forms
ValueCountFrequency (%)
2
100.0%
IPA Ext
ValueCountFrequency (%)
ɛ 1
100.0%
Runic
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Thai
ValueCountFrequency (%)
1
100.0%
VS
ValueCountFrequency (%)
1
100.0%

Publishers
Text

MISSING 

Distinct43366
Distinct (%)53.4%
Missing3867
Missing (%)4.5%
Memory size665.0 KiB
2024-02-01T11:52:45.591938image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length164
Median length84
Mean length13.908994
Min length1

Characters and Unicode

Total characters1129911
Distinct characters2045
Distinct categories20 ?
Distinct scripts12 ?
Distinct blocks19 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33497 ?
Unique (%)41.2%

Sample

1st rowPerpetual FX Creative
2nd rowWild Rooster
3rd rowCampião Games
4th rowOdd Critter Games
5th rowUnusual Games
ValueCountFrequency (%)
games 14635
 
9.0%
studio 4307
 
2.6%
studios 4289
 
2.6%
entertainment 2153
 
1.3%
ltd 2019
 
1.2%
llc 1794
 
1.1%
inc 1746
 
1.1%
game 1593
 
1.0%
interactive 1501
 
0.9%
software 1012
 
0.6%
Other values (39161) 128439
78.6%
2024-02-01T11:52:46.055527image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 95491
 
8.5%
a 82554
 
7.3%
82293
 
7.3%
i 68254
 
6.0%
o 63460
 
5.6%
t 59513
 
5.3%
s 52321
 
4.6%
n 51858
 
4.6%
r 50656
 
4.5%
m 38584
 
3.4%
Other values (2035) 484927
42.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 790122
69.9%
Uppercase Letter 224473
 
19.9%
Space Separator 82297
 
7.3%
Other Punctuation 13591
 
1.2%
Other Letter 10675
 
0.9%
Decimal Number 5760
 
0.5%
Dash Punctuation 1384
 
0.1%
Connector Punctuation 492
 
< 0.1%
Open Punctuation 440
 
< 0.1%
Close Punctuation 438
 
< 0.1%
Other values (10) 239
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
406
 
3.8%
368
 
3.4%
347
 
3.3%
267
 
2.5%
221
 
2.1%
160
 
1.5%
151
 
1.4%
150
 
1.4%
149
 
1.4%
149
 
1.4%
Other values (1750) 8307
77.8%
Lowercase Letter
ValueCountFrequency (%)
e 95491
12.1%
a 82554
10.4%
i 68254
 
8.6%
o 63460
 
8.0%
t 59513
 
7.5%
s 52321
 
6.6%
n 51858
 
6.6%
r 50656
 
6.4%
m 38584
 
4.9%
l 33018
 
4.2%
Other values (104) 194413
24.6%
Uppercase Letter
ValueCountFrequency (%)
G 26624
 
11.9%
S 26506
 
11.8%
A 13503
 
6.0%
L 13304
 
5.9%
C 13077
 
5.8%
M 11013
 
4.9%
I 10769
 
4.8%
T 10737
 
4.8%
E 10496
 
4.7%
D 10316
 
4.6%
Other values (66) 78128
34.8%
Other Punctuation
ValueCountFrequency (%)
. 7288
53.6%
, 5108
37.6%
' 513
 
3.8%
& 255
 
1.9%
! 145
 
1.1%
/ 122
 
0.9%
: 52
 
0.4%
? 22
 
0.2%
@ 18
 
0.1%
13
 
0.1%
Other values (14) 55
 
0.4%
Other Symbol
ValueCountFrequency (%)
28
29.5%
® 20
21.1%
💘 11
 
11.6%
🚀 10
 
10.5%
4
 
4.2%
4
 
4.2%
© 3
 
3.2%
2
 
2.1%
🐼 2
 
2.1%
📚 2
 
2.1%
Other values (9) 9
 
9.5%
Decimal Number
ValueCountFrequency (%)
1 860
14.9%
2 843
14.6%
0 795
13.8%
3 746
13.0%
8 597
10.4%
4 510
8.9%
7 469
8.1%
5 325
 
5.6%
6 310
 
5.4%
9 305
 
5.3%
Math Symbol
ValueCountFrequency (%)
+ 40
58.8%
| 9
 
13.2%
~ 5
 
7.4%
× 5
 
7.4%
3
 
4.4%
> 2
 
2.9%
= 2
 
2.9%
1
 
1.5%
< 1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 386
87.7%
[ 23
 
5.2%
21
 
4.8%
{ 7
 
1.6%
3
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 383
87.4%
] 23
 
5.3%
22
 
5.0%
} 7
 
1.6%
3
 
0.7%
Space Separator
ValueCountFrequency (%)
82293
> 99.9%
  2
 
< 0.1%
  1
 
< 0.1%
1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1380
99.7%
3
 
0.2%
1
 
0.1%
Modifier Letter
ValueCountFrequency (%)
47
94.0%
2
 
4.0%
1
 
2.0%
Modifier Symbol
ValueCountFrequency (%)
` 5
45.5%
´ 5
45.5%
^ 1
 
9.1%
Other Number
ValueCountFrequency (%)
² 4
80.0%
1
 
20.0%
Nonspacing Mark
ValueCountFrequency (%)
1
50.0%
1
50.0%
Format
ValueCountFrequency (%)
1
50.0%
1
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 492
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 4
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1014158
89.8%
Common 104657
 
9.3%
Han 9368
 
0.8%
Katakana 582
 
0.1%
Hiragana 493
 
< 0.1%
Cyrillic 410
 
< 0.1%
Hangul 172
 
< 0.1%
Arabic 60
 
< 0.1%
Greek 5
 
< 0.1%
Runic 3
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
406
 
4.3%
368
 
3.9%
347
 
3.7%
267
 
2.9%
221
 
2.4%
160
 
1.7%
151
 
1.6%
150
 
1.6%
149
 
1.6%
149
 
1.6%
Other values (1500) 7000
74.7%
Latin
ValueCountFrequency (%)
e 95491
 
9.4%
a 82554
 
8.1%
i 68254
 
6.7%
o 63460
 
6.3%
t 59513
 
5.9%
s 52321
 
5.2%
n 51858
 
5.1%
r 50656
 
5.0%
m 38584
 
3.8%
l 33018
 
3.3%
Other values (115) 418449
41.3%
Common
ValueCountFrequency (%)
82293
78.6%
. 7288
 
7.0%
, 5108
 
4.9%
- 1380
 
1.3%
1 860
 
0.8%
2 843
 
0.8%
0 795
 
0.8%
3 746
 
0.7%
8 597
 
0.6%
' 513
 
0.5%
Other values (98) 4234
 
4.0%
Hangul
ValueCountFrequency (%)
10
 
5.8%
9
 
5.2%
9
 
5.2%
9
 
5.2%
9
 
5.2%
5
 
2.9%
4
 
2.3%
3
 
1.7%
3
 
1.7%
3
 
1.7%
Other values (85) 108
62.8%
Hiragana
ValueCountFrequency (%)
34
 
6.9%
33
 
6.7%
22
 
4.5%
20
 
4.1%
19
 
3.9%
18
 
3.7%
16
 
3.2%
14
 
2.8%
14
 
2.8%
14
 
2.8%
Other values (59) 289
58.6%
Katakana
ValueCountFrequency (%)
48
 
8.2%
34
 
5.8%
26
 
4.5%
25
 
4.3%
24
 
4.1%
21
 
3.6%
18
 
3.1%
18
 
3.1%
18
 
3.1%
17
 
2.9%
Other values (55) 333
57.2%
Cyrillic
ValueCountFrequency (%)
К 63
15.4%
о 52
 
12.7%
и 47
 
11.5%
е 22
 
5.4%
т 15
 
3.7%
р 14
 
3.4%
а 12
 
2.9%
л 10
 
2.4%
н 10
 
2.4%
г 10
 
2.4%
Other values (33) 155
37.8%
Arabic
ValueCountFrequency (%)
ا 10
16.7%
ل 8
13.3%
ي 7
11.7%
ر 6
10.0%
و 4
 
6.7%
ت 4
 
6.7%
س 3
 
5.0%
ب 2
 
3.3%
ع 2
 
3.3%
ف 2
 
3.3%
Other values (10) 12
20.0%
Greek
ValueCountFrequency (%)
α 2
40.0%
Δ 1
20.0%
Σ 1
20.0%
Λ 1
20.0%
Runic
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Inherited
ValueCountFrequency (%)
1
50.0%
1
50.0%
Thai
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1117681
98.9%
CJK 9366
 
0.8%
None 1010
 
0.1%
Katakana 632
 
0.1%
Hiragana 493
 
< 0.1%
Cyrillic 410
 
< 0.1%
Hangul 172
 
< 0.1%
Arabic 60
 
< 0.1%
Letterlike Symbols 28
 
< 0.1%
Math Alphanum 22
 
< 0.1%
Other values (9) 37
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 95491
 
8.5%
a 82554
 
7.4%
82293
 
7.4%
i 68254
 
6.1%
o 63460
 
5.7%
t 59513
 
5.3%
s 52321
 
4.7%
n 51858
 
4.6%
r 50656
 
4.5%
m 38584
 
3.5%
Other values (84) 472697
42.3%
CJK
ValueCountFrequency (%)
406
 
4.3%
368
 
3.9%
347
 
3.7%
267
 
2.9%
221
 
2.4%
160
 
1.7%
151
 
1.6%
150
 
1.6%
149
 
1.6%
149
 
1.6%
Other values (1499) 6998
74.7%
None
ValueCountFrequency (%)
é 104
 
10.3%
ü 59
 
5.8%
ä 59
 
5.8%
á 56
 
5.5%
ö 52
 
5.1%
í 52
 
5.1%
ł 41
 
4.1%
ç 41
 
4.1%
ı 28
 
2.8%
ó 25
 
2.5%
Other values (97) 493
48.8%
Cyrillic
ValueCountFrequency (%)
К 63
15.4%
о 52
 
12.7%
и 47
 
11.5%
е 22
 
5.4%
т 15
 
3.7%
р 14
 
3.4%
а 12
 
2.9%
л 10
 
2.4%
н 10
 
2.4%
г 10
 
2.4%
Other values (33) 155
37.8%
Katakana
ValueCountFrequency (%)
48
 
7.6%
47
 
7.4%
34
 
5.4%
26
 
4.1%
25
 
4.0%
24
 
3.8%
21
 
3.3%
18
 
2.8%
18
 
2.8%
18
 
2.8%
Other values (57) 353
55.9%
Hiragana
ValueCountFrequency (%)
34
 
6.9%
33
 
6.7%
22
 
4.5%
20
 
4.1%
19
 
3.9%
18
 
3.7%
16
 
3.2%
14
 
2.8%
14
 
2.8%
14
 
2.8%
Other values (59) 289
58.6%
Letterlike Symbols
ValueCountFrequency (%)
28
100.0%
Arabic
ValueCountFrequency (%)
ا 10
16.7%
ل 8
13.3%
ي 7
11.7%
ر 6
10.0%
و 4
 
6.7%
ت 4
 
6.7%
س 3
 
5.0%
ب 2
 
3.3%
ع 2
 
3.3%
ف 2
 
3.3%
Other values (10) 12
20.0%
Hangul
ValueCountFrequency (%)
10
 
5.8%
9
 
5.2%
9
 
5.2%
9
 
5.2%
9
 
5.2%
5
 
2.9%
4
 
2.3%
3
 
1.7%
3
 
1.7%
3
 
1.7%
Other values (85) 108
62.8%
Misc Symbols
ValueCountFrequency (%)
4
100.0%
Geometric Shapes
ValueCountFrequency (%)
4
100.0%
Math Alphanum
ValueCountFrequency (%)
𝖎 3
 
13.6%
𝖓 2
 
9.1%
𝖉 2
 
9.1%
𝖗 1
 
4.5%
𝕲 1
 
4.5%
𝓓 1
 
4.5%
𝓻 1
 
4.5%
𝔂 1
 
4.5%
𝓘 1
 
4.5%
𝓬 1
 
4.5%
Other values (8) 8
36.4%
Punctuation
ValueCountFrequency (%)
3
25.0%
3
25.0%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
1
 
8.3%
Math Operators
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Dingbats
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Latin Ext Additional
ValueCountFrequency (%)
2
50.0%
2
50.0%
Thai
ValueCountFrequency (%)
1
100.0%
Runic
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
VS
ValueCountFrequency (%)
1
100.0%

Categories
Text

MISSING 

Distinct5648
Distinct (%)7.0%
Missing4598
Missing (%)5.4%
Memory size665.0 KiB
2024-02-01T11:52:46.313131image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length371
Median length346
Mean length50.972051
Min length3

Characters and Unicode

Total characters4103505
Distinct characters46
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3602 ?
Unique (%)4.5%

Sample

1st rowSingle-player,Multi-player,Steam Achievements,Partial Controller Support
2nd rowSingle-player,Steam Achievements,Full controller support,Steam Leaderboards,Remote Play on Phone,Remote Play on Tablet,Remote Play on TV
3rd rowSingle-player
4th rowSingle-player,Full controller support
5th rowSingle-player,Steam Achievements
ValueCountFrequency (%)
single-player,steam 32581
 
11.3%
controller 26924
 
9.4%
single-player 23990
 
8.3%
support,steam 12109
 
4.2%
cloud 12043
 
4.2%
achievements,full 11371
 
4.0%
support 11021
 
3.8%
achievements,steam 10588
 
3.7%
play 10140
 
3.5%
trading 9889
 
3.4%
Other values (397) 126684
44.1%
2024-02-01T11:52:46.745681image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 493819
 
12.0%
l 351742
 
8.6%
r 263076
 
6.4%
a 262094
 
6.4%
t 237453
 
5.8%
206835
 
5.0%
S 204562
 
5.0%
n 197645
 
4.8%
p 185592
 
4.5%
i 181126
 
4.4%
Other values (36) 1519561
37.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3116056
75.9%
Uppercase Letter 474341
 
11.6%
Space Separator 206835
 
5.0%
Other Punctuation 193406
 
4.7%
Dash Punctuation 112861
 
2.8%
Open Punctuation 2
 
< 0.1%
Decimal Number 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 493819
15.8%
l 351742
11.3%
r 263076
8.4%
a 262094
8.4%
t 237453
 
7.6%
n 197645
 
6.3%
p 185592
 
6.0%
i 181126
 
5.8%
o 172101
 
5.5%
m 124080
 
4.0%
Other values (12) 647328
20.8%
Uppercase Letter
ValueCountFrequency (%)
S 204562
43.1%
P 69520
 
14.7%
C 59650
 
12.6%
A 40545
 
8.5%
M 20520
 
4.3%
T 19641
 
4.1%
F 15993
 
3.4%
O 13473
 
2.8%
R 11224
 
2.4%
L 8135
 
1.7%
Other values (7) 11078
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 180456
93.3%
/ 12950
 
6.7%
Space Separator
ValueCountFrequency (%)
206835
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 112861
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3590397
87.5%
Common 513108
 
12.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 493819
13.8%
l 351742
 
9.8%
r 263076
 
7.3%
a 262094
 
7.3%
t 237453
 
6.6%
S 204562
 
5.7%
n 197645
 
5.5%
p 185592
 
5.2%
i 181126
 
5.0%
o 172101
 
4.8%
Other values (29) 1041187
29.0%
Common
ValueCountFrequency (%)
206835
40.3%
, 180456
35.2%
- 112861
22.0%
/ 12950
 
2.5%
( 2
 
< 0.1%
2 2
 
< 0.1%
) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4103505
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 493819
 
12.0%
l 351742
 
8.6%
r 263076
 
6.4%
a 262094
 
6.4%
t 237453
 
5.8%
206835
 
5.0%
S 204562
 
5.0%
n 197645
 
4.8%
p 185592
 
4.5%
i 181126
 
4.4%
Other values (36) 1519561
37.0%

Genres
Text

MISSING 

Distinct2471
Distinct (%)3.0%
Missing3555
Missing (%)4.2%
Memory size665.0 KiB
2024-02-01T11:52:46.961581image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length236
Median length133
Mean length22.127545
Min length3

Characters and Unicode

Total characters1804457
Distinct characters44
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1085 ?
Unique (%)1.3%

Sample

1st rowCasual,Indie,Sports
2nd rowAction,Indie
3rd rowAction,Adventure,Indie,Strategy
4th rowAdventure,Casual,Indie
5th rowAdventure,Indie
ValueCountFrequency (%)
access 10402
 
9.4%
to 6631
 
6.0%
casual,indie 4811
 
4.4%
action,indie 4421
 
4.0%
action,adventure,indie 3643
 
3.3%
adventure,indie 3110
 
2.8%
adventure,casual,indie 2561
 
2.3%
indie 2547
 
2.3%
action,casual,indie 2529
 
2.3%
casual 2486
 
2.2%
Other values (1473) 67371
61.0%
2024-02-01T11:52:47.339501image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 167836
 
9.3%
, 151584
 
8.4%
n 146259
 
8.1%
i 138234
 
7.7%
t 130819
 
7.2%
a 126730
 
7.0%
d 90440
 
5.0%
u 85943
 
4.8%
l 77168
 
4.3%
A 76305
 
4.2%
Other values (34) 613139
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1339560
74.2%
Uppercase Letter 283432
 
15.7%
Other Punctuation 152498
 
8.5%
Space Separator 28964
 
1.6%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 167836
12.5%
n 146259
10.9%
i 138234
10.3%
t 130819
9.8%
a 126730
9.5%
d 90440
 
6.8%
u 85943
 
6.4%
l 77168
 
5.8%
r 71777
 
5.4%
o 65277
 
4.9%
Other values (12) 239077
17.8%
Uppercase Letter
ValueCountFrequency (%)
A 76305
26.9%
I 57432
20.3%
S 35857
12.7%
C 34318
12.1%
P 21811
 
7.7%
R 17536
 
6.2%
G 14990
 
5.3%
E 10941
 
3.9%
F 6631
 
2.3%
M 4770
 
1.7%
Other values (6) 2841
 
1.0%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
6 1
33.3%
0 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 151584
99.4%
& 914
 
0.6%
Space Separator
ValueCountFrequency (%)
28964
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1622992
89.9%
Common 181465
 
10.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 167836
 
10.3%
n 146259
 
9.0%
i 138234
 
8.5%
t 130819
 
8.1%
a 126730
 
7.8%
d 90440
 
5.6%
u 85943
 
5.3%
l 77168
 
4.8%
A 76305
 
4.7%
r 71777
 
4.4%
Other values (28) 511481
31.5%
Common
ValueCountFrequency (%)
, 151584
83.5%
28964
 
16.0%
& 914
 
0.5%
3 1
 
< 0.1%
6 1
 
< 0.1%
0 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1804457
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 167836
 
9.3%
, 151584
 
8.4%
n 146259
 
8.1%
i 138234
 
7.7%
t 130819
 
7.2%
a 126730
 
7.0%
d 90440
 
5.0%
u 85943
 
4.8%
l 77168
 
4.3%
A 76305
 
4.2%
Other values (34) 613139
34.0%

Tags
Text

MISSING 

Distinct57101
Distinct (%)89.2%
Missing21100
Missing (%)24.8%
Memory size665.0 KiB
2024-02-01T11:52:47.740906image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length288
Median length207
Mean length125.08132
Min length2

Characters and Unicode

Total characters8005580
Distinct characters70
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55719 ?
Unique (%)87.1%

Sample

1st rowIndie,Casual,Sports,Bowling
2nd rowIndie,Action,Pixel Graphics,2D,Retro,Arcade,Score Attack,Minimalist,Comedy,Singleplayer,Fast-Paced,Casual,Funny,Parody,Difficult,Gore,Violent,Western,Controller,Blood
3rd row2D Platformer,Atmospheric,Surreal,Mystery,Puzzle,Survival,Adventure,Linear,Singleplayer,Experimental,Platformer,Precision Platformer,Puzzle-Platformer,2D,Stylized,Physics,Time Manipulation,Casual,Indie
4th rowIndie,Adventure,Nudity,Violent,Sexual Content,Story Rich
5th rowTurn-Based Combat,Massively Multiplayer,Multiplayer,RPG,Tactical RPG,Exploration,PvP,MMORPG,Turn-Based Strategy,God Game,Strategy,2.5D,Magic,Medieval,Mythology,Class-Based,Turn-Based Tactics,Singleplayer,Online Co-Op,Co-op
ValueCountFrequency (%)
4875
 
1.7%
to 4082
 
1.4%
em 3550
 
1.2%
early 2495
 
0.9%
free 2082
 
0.7%
and 1987
 
0.7%
your 1960
 
0.7%
own 1960
 
0.7%
only 1404
 
0.5%
action 1216
 
0.4%
Other values (147297) 261028
91.1%
2024-02-01T11:52:48.275070image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 746226
 
9.3%
e 639885
 
8.0%
i 522082
 
6.5%
a 500616
 
6.3%
r 496515
 
6.2%
t 465937
 
5.8%
o 457290
 
5.7%
l 432430
 
5.4%
n 419871
 
5.2%
c 240692
 
3.0%
Other values (60) 3084036
38.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5760111
72.0%
Uppercase Letter 1141436
 
14.3%
Other Punctuation 757900
 
9.5%
Space Separator 222636
 
2.8%
Dash Punctuation 67824
 
0.8%
Decimal Number 54584
 
0.7%
Math Symbol 985
 
< 0.1%
Open Punctuation 52
 
< 0.1%
Close Punctuation 52
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 639885
11.1%
i 522082
 
9.1%
a 500616
 
8.7%
r 496515
 
8.6%
t 465937
 
8.1%
o 457290
 
7.9%
l 432430
 
7.5%
n 419871
 
7.3%
c 240692
 
4.2%
u 230603
 
4.0%
Other values (16) 1354190
23.5%
Uppercase Letter
ValueCountFrequency (%)
S 166906
14.6%
P 127524
11.2%
A 121279
10.6%
C 116821
10.2%
R 78319
 
6.9%
D 73198
 
6.4%
F 61952
 
5.4%
M 56622
 
5.0%
I 51826
 
4.5%
G 51444
 
4.5%
Other values (16) 235545
20.6%
Decimal Number
ValueCountFrequency (%)
2 23609
43.3%
3 14208
26.0%
9 5149
 
9.4%
0 3414
 
6.3%
1 3269
 
6.0%
4 1572
 
2.9%
8 1418
 
2.6%
5 1369
 
2.5%
6 576
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 746226
98.5%
' 5430
 
0.7%
& 4875
 
0.6%
. 1369
 
0.2%
Space Separator
ValueCountFrequency (%)
222636
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67824
100.0%
Math Symbol
ValueCountFrequency (%)
+ 985
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6901547
86.2%
Common 1104033
 
13.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 639885
 
9.3%
i 522082
 
7.6%
a 500616
 
7.3%
r 496515
 
7.2%
t 465937
 
6.8%
o 457290
 
6.6%
l 432430
 
6.3%
n 419871
 
6.1%
c 240692
 
3.5%
u 230603
 
3.3%
Other values (42) 2495626
36.2%
Common
ValueCountFrequency (%)
, 746226
67.6%
222636
 
20.2%
- 67824
 
6.1%
2 23609
 
2.1%
3 14208
 
1.3%
' 5430
 
0.5%
9 5149
 
0.5%
& 4875
 
0.4%
0 3414
 
0.3%
1 3269
 
0.3%
Other values (8) 7393
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8005580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 746226
 
9.3%
e 639885
 
8.0%
i 522082
 
6.5%
a 500616
 
6.3%
r 496515
 
6.2%
t 465937
 
5.8%
o 457290
 
5.7%
l 432430
 
5.4%
n 419871
 
5.2%
c 240692
 
3.0%
Other values (60) 3084036
38.5%

Interactions

2024-02-01T11:52:30.710095image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:06.274525image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:08.009987image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:09.748613image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:11.461463image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:13.194745image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:14.738840image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:16.541186image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:18.115116image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:19.910820image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:21.661536image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:23.439319image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:25.357148image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:27.057438image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:28.869440image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:30.841046image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:06.381509image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:08.112984image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:09.855038image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:11.571097image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:13.297531image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:14.840933image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:16.642021image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:18.220340image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:20.032154image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-02-01T11:52:21.777344image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-02-01T11:52:30.572874image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Missing values

2024-02-01T11:52:33.051050image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-02-01T11:52:33.620637image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

AppIDNameRelease dateEstimated ownersPeak CCURequired agePriceDLC countSupported languagesFull audio languagesWindowsMacLinuxMetacritic scoreMetacritic urlUser scorePositiveNegativeScore rankAchievementsRecommendationsNotesAverage playtime foreverAverage playtime two weeksMedian playtime foreverMedian playtime two weeksDevelopersPublishersCategoriesGenresTags
020200Galactic BowlingOct 21, 20080 - 200000019.990['English'][]TrueFalseFalse0NaN0611NaN300NaN0000Perpetual FX CreativePerpetual FX CreativeSingle-player,Multi-player,Steam Achievements,Partial Controller SupportCasual,Indie,SportsIndie,Casual,Sports,Bowling
1655370Train BanditOct 12, 20170 - 20000000.990['English', 'French', 'Italian', 'German', 'Spanish - Spain', 'Japanese', 'Portuguese - Brazil', 'Russian', 'Simplified Chinese', 'Traditional Chinese'][]TrueTrueFalse0NaN0535NaN120NaN0000Rusty MoyherWild RoosterSingle-player,Steam Achievements,Full controller support,Steam Leaderboards,Remote Play on Phone,Remote Play on Tablet,Remote Play on TVAction,IndieIndie,Action,Pixel Graphics,2D,Retro,Arcade,Score Attack,Minimalist,Comedy,Singleplayer,Fast-Paced,Casual,Funny,Parody,Difficult,Gore,Violent,Western,Controller,Blood
21732930Jolt ProjectNov 17, 20210 - 20000004.990['English', 'Portuguese - Brazil'][]TrueFalseFalse0NaN000NaN00NaN0000Campião GamesCampião GamesSingle-playerAction,Adventure,Indie,StrategyNaN
31355720Henosis™Jul 23, 20200 - 20000005.990['English', 'French', 'Italian', 'German', 'Spanish - Spain', 'Japanese', 'Korean', 'Portuguese', 'Russian', 'Simplified Chinese', 'Traditional Chinese'][]TrueTrueTrue0NaN030NaN00NaN0000Odd Critter GamesOdd Critter GamesSingle-player,Full controller supportAdventure,Casual,Indie2D Platformer,Atmospheric,Surreal,Mystery,Puzzle,Survival,Adventure,Linear,Singleplayer,Experimental,Platformer,Precision Platformer,Puzzle-Platformer,2D,Stylized,Physics,Time Manipulation,Casual,Indie
41139950Two Weeks in PainlandFeb 3, 20200 - 20000000.000['English', 'Spanish - Spain'][]TrueTrueFalse0NaN0508NaN170This Game may contain content not appropriate for all ages, or may not be appropriate for viewing at work: violence, general Mature Content.0000Unusual GamesUnusual GamesSingle-player,Steam AchievementsAdventure,IndieIndie,Adventure,Nudity,Violent,Sexual Content,Story Rich
51469160Wartune RebornFeb 26, 202150000 - 1000006800.000['English'][]TrueFalseFalse0NaN08749NaN00NaN00007Road7RoadSingle-player,Multi-player,MMO,PvP,Online PvP,Co-op,Online Co-op,In-App PurchasesAdventure,Casual,Free to Play,Massively Multiplayer,RPG,StrategyTurn-Based Combat,Massively Multiplayer,Multiplayer,RPG,Tactical RPG,Exploration,PvP,MMORPG,Turn-Based Strategy,God Game,Strategy,2.5D,Magic,Medieval,Mythology,Class-Based,Turn-Based Tactics,Singleplayer,Online Co-Op,Co-op
61659180TD WorldsJan 9, 20220 - 200003010.991['English', 'Russian', 'Danish'][]TrueFalseFalse0NaN0217NaN620NaN0000MAKSIM VOLKAUMAKSIM VOLKAUSingle-player,Steam Achievements,Steam CloudIndie,StrategyTower Defense,Rogue-lite,RTS,Replay Value,Perma Death,2D,Isometric,Difficult,Rogue-like,Dynamic Narration,Stylized,Real Time Tactics,Strategy,Minimalist,Abstract,Tactical,Atmospheric,Singleplayer,Sci-fi,Mystery
71968760Legend of Rome - The Wrath of MarsMay 5, 20220 - 20000209.990['English', 'German']['English', 'German']TrueFalseFalse0NaN000NaN00NaN0000magnussoftmagnussoftSingle-player,Steam CloudCasualNaN
81178150MazM: Jekyll and HydeApr 2, 20200 - 200001014.990['English', 'French', 'Italian', 'German', 'Spanish - Spain', 'Russian', 'Japanese', 'Simplified Chinese', 'Traditional Chinese', 'Korean'][]TrueFalseFalse0NaN0766NaN250NaN0000Growing SeedsCFK Co., Ltd.Single-player,Steam Achievements,Full controller supportAdventure,RPG,Simulation,StrategyAdventure,Simulation,RPG,Strategy,Singleplayer,Classic
9320150Deadlings: Rotten EditionNov 11, 201450000 - 100000003.990['English', 'Polish', 'French', 'Italian', 'German', 'Spanish - Spain', 'Portuguese', 'Russian', 'Japanese']['English', 'Japanese']TrueTrueTrue0NaN022545NaN320NaN70307820ONE MORE LEVELONE MORE LEVELSingle-player,Steam Achievements,Steam Trading Cards,Partial Controller Support,Steam CloudAction,Adventure,IndieAction,Indie,Adventure,Puzzle-Platformer,Arcade,Zombies
AppIDNameRelease dateEstimated ownersPeak CCURequired agePriceDLC countSupported languagesFull audio languagesWindowsMacLinuxMetacritic scoreMetacritic urlUser scorePositiveNegativeScore rankAchievementsRecommendationsNotesAverage playtime foreverAverage playtime two weeksMedian playtime foreverMedian playtime two weeksDevelopersPublishersCategoriesGenresTags
850932650680Dense forestJan 4, 20240 - 0005.990['English'][]TrueFalseFalse0NaN000NaN50NaN0000GamesforgamesGamesforgamesSingle-player,Steam AchievementsAction,Adventure,Casual,RPG,Simulation,Sports,StrategyNaN
850942345080Cats VS GhostsJan 2, 20240 - 20000000.990['English'][]TrueFalseFalse0NaN010NaN00NaN0000Ruben Dario AcostaRuben Dario AcostaSingle-playerCasual,IndieCasual,Tower Defense,Time Management,3D,Cartoon,Cartoony,Colorful,Alternate History,Comedy,Demons,Funny,Management,Mystery,Base-Building,Bullet Time,Singleplayer,Cats,Indie
850952765800Scorching Engines PlaytestJan 6, 20240 - 0000.000[][]TrueFalseFalse0NaN000NaN00NaN0000NaNNaNNaNNaNNaN
850962734460Fallen's ChallengeJan 3, 20240 - 20000004.990['English']['English']TrueFalseFalse0NaN000NaN00NaN0000Electronic Overthrow LLCElectronic Overthrow LLCSingle-player,Partial Controller SupportAction,Adventure,Casual,Indie,Strategy,Early AccessNaN
850972105610Lost in the Void : Chapter OneJan 6, 20240 - 20000004.992['English', 'Slovak'][]TrueFalseFalse0NaN000NaN170Alcohol, Vulgarism (Harsh Language)0000NightcallNightcallSingle-player,Steam Achievements,Full controller supportAdventure,Indie,RPG,Free to PlayNaN
850982669080Mannerheim's Saloon CarJan 2, 20240 - 0000.000['English', 'Finnish']['Finnish']TrueFalseFalse0NaN000NaN00NaN0000Xamk Game StudiosSodan ja rauhan keskus Muisti, PäämajamuseoSingle-player,Tracked Controller Support,VR OnlyAdventure,SimulationNaN
850992736910Beer RunJan 3, 20240 - 0000.000['English'][]TrueFalseFalse0NaN000NaN00NaN0000955 Games955 GamesSingle-playerCasual,IndieNaN
851002743220My Friend The SpiderJan 4, 20240 - 0000.000['English']['English']TrueFalseFalse0NaN000NaN00NaN0000MCAMCASingle-playerAdventure,SimulationNaN
851012293130Path of SurvivorsJan 8, 20240 - 0003.990['English'][]TrueFalseFalse0NaN000NaN340NaN0000Limited InputLimited InputSingle-player,Steam Achievements,Partial Controller Support,Steam CloudAction,Casual,Indie,RPG,SimulationNaN
851022738840The Night HeistJan 5, 20240 - 0009.990['English']['English']TrueFalseFalse0NaN000NaN120NaN0000Ladell ParksLadell ParksSingle-player,Steam Achievements,Full controller supportCasual,IndieNaN